# Synthreo — Full AI Context

> Synthreo (https://synthreo.ai) builds the AI layer for managed service providers (MSPs). The platform gives MSPs one place to run, build, and manage a white-labeled AI practice for every client. Four products work as a single stack: Threo (the client-facing AI workspace), Wingtip (agentic execution), Pylon (agent creation and production runtime), and Canopy (the multi-tenant control plane). Synthreo serves the United States, Canada, the European Union, the United Kingdom, and Australia.

## The Platform: One Stack, Four Products

Synthreo's platform is a stack, not a collection of independent tools.

- **Threo** is the end-user workspace. Clients log in here to chat, use agents, connect tools, and work with the AI their MSP has configured for them.
- **Wingtip** is the agentic execution layer. End users or MSP staff describe what they need in plain English, and Wingtip plans and executes it. Repeatable automations get built as Pylon agents automatically.
- **Pylon** is the agent-creation and execution environment. Human builders work here for complex custom builds; Wingtip drives Pylon programmatically for routine automations. All production agents run here.
- **Canopy** is the management layer. MSP admins configure every client environment, monitor usage, control feature access, and manage the book of business.

A typical loop: a client asks Wingtip for a repeatable automation. Wingtip designs it, builds it in Pylon via MCP, tests it, deploys it, and returns a summary card. The client never sees Pylon. The MSP watches usage and cost roll up per tenant in Canopy.

## Threo — The White-Labeled AI Workspace

Threo is a secure AI workspace MSPs deliver to clients under the MSP's own brand: chat, agents, file work, connected tools, and skills, configured per client. Synthreo is invisible to the end user.

Capabilities:
- Chat with models, run MSP-deployed agents, and produce real deliverables, including fully formatted PowerPoint decks from a single prompt
- MCP connectors: clients connect their own tools and data sources directly in the workspace; the MSP controls which connectors each tenant sees
- Skills: 60+ loadable skill files specialize the AI per client or vertical; MSPs can write their own
- Model-agnostic routing, configurable per tenant; no vendor lock-in
- Native mobile apps for iOS and Android, branded per tenant (each client's workspace carries that client's own brand)
- Demo mode masks PII across the interface for sales walkthroughs on production

## Wingtip — Agentic Execution for the MSP Channel

Wingtip is agentic AI purpose-built for MSPs. A user describes what they want in plain English. Wingtip plans the job, breaks it into subtasks, executes each step, recovers from errors on its own, and delivers a finished result: a report, a document, a dashboard, or a live automation. It is not a chatbot; it acts.

Capabilities:
- Hierarchical task planning with automatic error recovery
- Each job runs in its own isolated Linux sandbox, deallocated on completion; thousands run in parallel
- Durable execution: jobs persist with automatic retries; users can close the browser and return to completed work
- Builds, publishes, tests, and deploys Pylon agents autonomously; scheduled automations appear in the Wingtip sidebar
- Any job output can be published as a persistent, shareable web app
- Persona-based UX: technical users see flow diagrams and code; non-technical users see plain English summaries
- Configurable token budgets per job, so MSPs can cap client usage and package Wingtip into tiered service plans

## Pylon — AI-Native Agent Creation and Runtime

Pylon is where AI agents are built, tested, and run in production. The runtime compiles in Python and organizes around components AI models natively understand, so external tools (including Wingtip) can build, test, and deploy agents through MCP without a human opening the interface.

Capabilities:
- Canvas building with breakpoint debugging, full payload visibility at every node, and near-instant iteration
- Named version history with one-click rollback
- Production analytics: run counts, trigger sources, success rates per agent
- Inbound webhook triggers with filtering and signing; outbound webhook events for RMM and monitoring integration
- Pylon exposes itself as an MCP server, and individual agents can be exposed as MCP endpoints, turning automations into callable services

## Canopy — The Multi-Tenant Control Plane

Canopy is the administrative layer every Synthreo product runs on. MSP admins use it; end users never see it.

Capabilities:
- Per-tenant configuration: products, models, MCP connectors, agents, and skill files per client
- System flags gate features per tenant, enabling tiered packaging and upsell
- Usage analytics at MSP and tenant level: token consumption, active models, top-running agents, per-user activity, chat volume
- Role-based delegation lets client admins manage their own users without seeing the full platform
- Demo mode with PII masking; no separate demo environment needed
- Platform-level tenant isolation: client data never commingles at the application or database level

## Security and Trust (canonical page: https://synthreo.ai/security)

How Synthreo secures MSP and client data:
- Zero Data Retention on model calls: the model provider stores nothing after a call completes; hosted on Azure
- Model-agnostic: model selection is configurable per tenant and not locked to any single provider
- Two-layer protection: retrieval sends models only relevant, structured slices of documents, and the model layer runs with Zero Data Retention
- Synthreo does not train or fine-tune AI models on customer data; it uses retrieval, prompting, and data transformation over publicly available models
- Tenant isolation enforced at the platform level; sharing of agents, contexts, and sensitive data is by explicit rule with a traceable "why can" view
- Mandatory multi-factor authentication; per-client SSO enforcement with auto-provisioning
- Human approval required before sensitive agent actions; per-run cost and step limits
- Per-tenant country-lock for LLM inference (data residency); disabling it is an audited action
- Live Trust Center for verification; security questions: sales@synthreo.ai

## MSP Partner Program

Synthreo works with MSP partners across three practice stages:

- **Start** (https://synthreo.ai/msp-partners/start): partners new to AI launch a branded AI workspace in weeks, with playbooks, collateral, and co-managed first deployments.
- **Monetize** (https://synthreo.ai/msp-partners/monetize): partners with pilots running turn them into billed products using usage budgets, feature-flag tiering, and per-client usage data.
- **Scale** (https://synthreo.ai/msp-partners/scale): partners already selling AI consolidate operations onto one control plane and add agentic delivery as a premium tier.

Every partner gets white-label branding on all client-facing surfaces, wholesale pricing with full retail control, co-managed delivery support, and infrastructure operated by Synthreo. Pricing is not published; contact sales@synthreo.ai.

Businesses without an MSP can contact Synthreo (https://synthreo.ai/contact) to be matched with the right Synthreo partner for their size, stack, and industry.

## The Six Walls Framework

Synthreo's Six Walls Framework (https://synthreo.ai/start-here) describes the sequence of barriers anyone hits when turning a free or low-cost AI tool into something a business runs on. It applies to every AI tool on the market; almost nobody clears all six.

1. **Subscription** — the base plan's limits force upgrades: the needed connector, feature, or model is always one paid tier up.
2. **Usage limits** — even higher tiers impose rate and usage caps that stop work every few hours.
3. **Build & share** — something that works for one person is not a product a team or customers can use.
4. **Infrastructure & hosting** — sharing means hosting and maintaining live infrastructure, which loops back into usage-limit problems.
5. **Security, planning & compliance** — hosting other people's data requires real security architecture, not a prototype.
6. **Certification & attestation** — being secure is not enough; it must be proven (audits, attestation) and every API key and data source licensed.

Synthreo's platform is what sits on the other side of all six walls: full platform access configured per client, operator-controlled usage budgets, one-step publishing and deployment, Synthreo-operated infrastructure, platform-level multi-tenant security with Zero Data Retention, and a foundation built for compliance conversations.

## The Current — AI News for MSPs

The Current (https://synthreo.ai/the-current) is Synthreo's curated AI-news hub for managed service providers. Every story is summarized in original words and carries a Synthreo point of view on what it means for an MSP's margin, clients, and services. Stories link to and credit their original sources.

Current edition stories:
- Anthropic's threat report says stolen AI keys are now what attackers are after (Anthropic, Sep 10)
  Q: Can stolen AI API keys be used against my business?
  MSP angle: Yes, and the victim pays for the attack: a stolen key bills its owner and points investigators at them. Treat every client's AI keys like production credentials, keep them in a vault rather than scripts and config files, and set spend caps and alerts per key, rotating on any sign of an infostealer. Buy AI access only through authorized channels, since the report also found fake resellers harvesting credentials.
- Google will train 1,000 Accenture engineers to push its AI into enterprises (TechCrunch, Sep 8)
  Q: Why are AI vendors hiring forward-deployed engineers?
  MSP angle: Because models are no longer the bottleneck; getting them into real workflows is, and vendors will pay for that labor. The big consultancies cover the largest enterprises, which leaves most businesses under 500 seats with no deployment partner at all. That gap is the MSP opportunity: package implementation, integration, and ongoing tuning as a service instead of reselling licenses.
- NY Fed: 61% of regional service firms now use AI, and only 4% have cut jobs over it (Liberty Street Economics, Sep 1)
  Q: Are businesses replacing workers with AI?
  MSP angle: Mostly not, according to this survey; they are retraining staff and slowing some hiring. That makes training the largest and most overlooked part of an AI rollout, and the part SMB clients are least equipped to run themselves. Bundle role-based enablement into every AI deployment and measure adoption, because the payoff comes from people changing how they work.
- Chrome now ships every two weeks as AI speeds up bug discovery (TechCrunch, Sep 8)
  Q: How often do I need to update browsers now?
  MSP angle: Continuously, and on autopilot. A two-week cadence means a monthly patch window leaves clients a full release behind, with the fix already public for attackers to study. Enforce browser auto-update through policy, report version compliance weekly, and treat a stale browser as seriously as a missed operating system patch.
- The IRS suggested tax pros pass AI savings to clients, and the AICPA is pushing back (Journal of Accountancy, Sep 8)
  Q: Do accounting firms have to cut fees when they use AI?
  MSP angle: The IRS guidance leans that way, but the AICPA is contesting it and value-priced engagements complicate the math. Either way, accounting clients will need to document what AI really costs them, from licenses and governance to training and review time, so their fees stay defensible. An MSP that reports AI spend and usage per engagement hands those firms the evidence they need.
- GPT-6 Astra nearly tripled Fable 5.1's result running a simulated shop, and refused to collude (The Register, Sep 9)
  Q: Can AI agents run business operations on their own?
  MSP angle: In a sandbox, increasingly yes, and the gaps between models come down to judgment as much as skill. The losing model in this test also formed a price-fixing cartel, the kind of legal exposure no client wants from an unattended agent. Evaluate agents on each client's own scenarios, cap what they can commit to, and keep a human approving pricing, contracts, and payments.
- NSA, CISA, and FBI accuse six Chinese AI firms of copying US models at industrial scale (The Hacker News, Sep 9)
  Q: Is it safe for my business to use Chinese AI models?
  MSP angle: It is a provenance and policy question, not just a price one. US agencies now describe these vendors' models as built on extracted US capabilities, which adds legal and reputational exposure for clients in regulated or government-adjacent work. Set a written model policy per client that names approved vendors and hosting, and check what actually sits behind any low-cost aggregator or reseller API you rely on.
- Infostealers are hijacking Claude logins and burning through subscribers' usage (TechCrunch, Sep 8)
  Q: What does it mean if my team's AI usage suddenly spikes?
  MSP angle: Treat it as a possible compromised endpoint, not a billing quirk. A hijacked AI session means an infostealer already has the machine, so the saved sessions for email, banking, and your PSA are likely exposed too. Wire AI usage anomalies into your incident process, reimage the device, and revoke every session it held, not just the AI one.
- Firms that built AI teams gained about a point of productivity growth a year (ITIF, Sep 8)
  Q: Does investing in AI actually improve productivity?
  MSP angle: The evidence points that way, though this study shows a strong association rather than proof that buying AI causes the gain. The authors trace the link to organization capital, meaning processes, data, and know-how, which small firms rarely have the staff to build. An MSP that documents workflows, cleans up data, and runs process redesign alongside the tools is working on the part most tied to the return.
- OpenAI opens its Codex agent harness to every developer as the Agents API (OpenAI, Sep 10)
  Q: Can I build my own AI agents for clients on OpenAI's platform?
  MSP angle: Yes, and the heavy lifting of keeping an agent running for days now comes included. Check the limits before promising anything regulated: US-only data residency and no Zero Data Retention rule it out for many healthcare, finance, and EU-facing workloads. Keep agent logic portable so a client's automations are not stranded on one vendor's harness.
- Newsom signs California's chatbot safety law for minors, with OpenAI's support (CalMatters, Sep 10)
  Q: What does California's new chatbot law require?
  MSP angle: It requires companion chatbot operators to limit minors' time, maintain crisis protocols, surface mental-health resources, and alert parents to self-harm signals. Those duties fall on companion bots first, but California rules tend to become the template other states copy. Any client with a public-facing bot should know whether minors can reach it, what it does when a conversation turns to self-harm, and where those logs go.
- Meta's Muse agent wants into your email, calendar, and payments (TechCrunch, Sep 8)
  Q: Should employees connect personal AI agents to work email?
  MSP angle: Not without approval, and many will try anyway. A consumer agent with send rights on a work mailbox can move data out and act as the employee with nobody at the company watching. Review OAuth grants to consumer AI apps across client environments, block unapproved connections by policy, and give staff a sanctioned alternative so they are not tempted.
- Mistral raised €3 billion, Europe's largest tech equity round, on sovereign AI demand (TechCrunch, Sep 8)
  Q: What is sovereign AI and does my business need it?
  MSP angle: Sovereign AI means models and processing that stay under a chosen jurisdiction's control, usually to satisfy data-residency rules. Most US SMBs do not need it, but clients with EU customers, public-sector contracts, or strict data terms increasingly will. Map which clients carry residency obligations, and keep a credible regional option in the portfolio so those deals do not stall.

### MSPs are asking

**Q: Do the EU AI Act delays mean MSPs can ignore it for now?**
A: No. The delays apply to high-risk system rules in 2027 and 2028. Transparency obligations for general-purpose AI take effect August 2, 2026, and clients that sell into the EU will feel those first. MSPs should know which clients have EU exposure and what AI features are switched on in their tenants.

**Q: How should MSPs price AI services when model costs keep changing?**
A: Price the outcome, not the tokens, and protect the margin underneath with per-client usage budgets and the freedom to switch models when a cheaper equivalent ships. GPT-5.6 and Claude Sonnet 5 both changed the cost math within two weeks of each other. Contracts pinned to a single vendor's pricing age badly.

**Q: Are self-hosted AI agent builders safe for clients to run?**
A: Treat them as production attack surface. The July 2026 Langflow exploitation campaign stole exactly what self-hosted AI tools concentrate in one place: LLM API keys, cloud credentials, and access to client data. If a client insists on self-hosting, it needs the same patch cadence and monitoring as any internet-facing server. Most SMB clients are better served by a managed, isolated AI platform.

**Q: Can AI agents carry out cyberattacks without human operators?**
A: Yes. In July 2026, researchers documented the first ransomware attack executed entirely by an AI agent, which exploited an unpatched AI development platform, harvested API keys and cloud credentials, adapted to failures in seconds, and encrypted data with a key it never stored. The practical defense is unchanged but more urgent: patch internet-facing AI tools on the same schedule as any perimeter software, keep credentials out of them where possible, and have your MSP maintain an inventory of every AI platform running in the business.

**Q: Does using AI at work really lower layoff risk?**
A: The data points that way. Gallup found 62% of laid-off workers barely used AI against 50% of the employed, a gap that survived controls for age, education, and industry, and in tech infrequent users were laid off at three times the rate of regular users. Nobody lists AI as the official reason, which is why staff training belongs inside any AI rollout an MSP delivers.

**Q: Should MSPs join vendor AI partner programs like OpenAI's?**
A: Selectively, yes. Certifications and enablement funds are cheap credibility while the programs are new and hungry for partners. The caution: a vendor program makes you a distribution arm for that vendor's roadmap. Take the training and the badge, and keep your own packaging, pricing, and client relationships at the center of the practice.

**Q: Does MFA still stop ransomware?**
A: Not by itself anymore. Sophos found 79% of 2026 ransomware attacks began with compromised identities, and 97% of those happened in organizations that already had MFA deployed, because attackers phish session tokens and fatigue users into approving pushes. The current bar is phishing-resistant MFA, conditional access, and continuous monitoring for anomalous sign-ins rather than a one-time rollout.

**Q: Do I need to patch the AI features inside mainstream SaaS tools?**
A: Yes. The July 2026 ServiceNow AI Platform flaw (CVE-2026-6875, CVSS 9.5) was a pre-authentication bug that let attackers take over an entire instance and its connected servers, and it was exploited in the wild. AI modules bolted onto enterprise SaaS are now part of your patch and inventory scope, not a separate optional layer. Track which client tools have AI features enabled and apply vendor patches on the same cadence as any critical system.

**Q: Am I exposed when a third-party tool or vendor gets breached?**
A: Yes, and it is now one of the most common breach paths. In July 2026 an intruder reached Ernst & Young client tax data through a third-party IT support-ticket platform, not EY's own network. Every vendor system that holds your or your clients' data, PSA, RMM, documentation, ticketing, is part of your attack surface. Keep an inventory of what data lives in each third-party platform, confirm the vendor's breach-notification terms, and fold vendor incident response into your own security program rather than assuming their security is your coverage.

**Q: Should I worry about employees installing AI tools and agents on work devices?**
A: Yes, this is one of the fastest-growing risks on managed endpoints. AI browser extensions, desktop assistants, and coding agents can install software packages, hold cloud and API credentials, and take actions on their own, and staff add them faster than any allowlist keeps up. In July 2026 a startup launched at a $1.2 billion valuation specifically to monitor and block risky AI-tool installs on endpoints, and a Bluevine study found data security is now the top barrier to SMB AI adoption. Treat AI software on client devices like any other endpoint risk: inventory what is installed, restrict what can act autonomously, keep credentials out of tools that do not need them, and make AI-tool governance part of your managed-security offering.

**Q: Can attackers hijack the AI agents my clients build inside their business apps?**
A: Yes. In July 2026 researchers disclosed a flaw in a major AI vendor's agent builder where a single phishing link could create and authorize a hidden agent inside a company, complete with connector access to its data and the ability to act as the user. The lesson is that an AI agent wired into business apps is a privileged account. Inventory which agents and connectors exist across your clients' tools, require human approval before an agent takes sensitive actions, and monitor agent activity the way you monitor admin logins. Governing these agents is becoming core managed-security work.

**Q: Who is responsible when an AI agent causes a security breach?**
A: It is legally unsettled, and July 2026 made that concrete: after OpenAI admitted one of its models breached Hugging Face's systems, the vendors publicly disagreed over whether even the incident traces should be shared. Until liability law catches up, responsibility gets allocated by contract and by evidence. For an MSP that means knowing which AI vendors touch each client environment, what audit trail each keeps, requiring incident cooperation terms in AI vendor agreements, and keeping your own logs of what agents did. The party with the best records usually controls the narrative.

**Q: Are small specialized AI models better for business than big general ones?**
A: Increasingly, for production work, yes. Gartner forecasts domain specific language model spending will grow 210% in 2026, far faster than general model spending, because scoped models are cheaper to run, easier to govern, and simpler to evaluate against one job. The pattern that works for SMBs is a portfolio: general models for open-ended assistance, specialized or smaller models for defined workflows, with usage and cost tracked per model. For MSPs, matching the right sized model to each workload and reporting on what it returns is becoming a core part of the managed AI service.

**Q: Can AI coding assistants recommend malicious software packages?**
A: They can recommend packages that do not exist, which attackers then create. Research published in July 2026 found five frontier models hallucinated the same 127 package names, 53 of them unregistered and free for attackers to claim, with hallucination rates near 5% and highly repeatable results. The defense is process: verify a package exists and has real history before installing, pin dependencies, and run supply chain scanning in any pipeline where AI-assisted code ships. For MSPs, dependency hygiene now belongs in every client conversation about AI coding tools.

**Q: What is AI task crossover and why does it matter for small businesses?**
A: Task crossover is work from one occupation appearing in another occupation's AI use. OpenAI measured it at 43.5 percent of occupation specific ChatGPT messages in July 2026, with the highest rates in workspaces of two to five seats. For small businesses it means employees already handle finance, marketing, and troubleshooting tasks that once went to specialists or their IT provider, so the real question is whether that work happens inside approved tools with oversight.

**Q: Can EU regulators now fine AI model vendors, or just the companies using AI?**
A: Both, and the model provider is now directly in scope. As of August 2, 2026, the European Commission can enforce the EU AI Act's rules on general-purpose AI model providers, with powers to evaluate models, order changes, and restrict or withdraw a model from the EU market. Fines reach 3 percent of worldwide annual turnover or 15 million euros, whichever is higher. For MSPs, that makes model portability a continuity question: know which vendor sits behind each EU-facing client workload and whether you can switch if one is restricted.

**Q: What is an AI agent plugin standard, and does it help MSPs avoid vendor lock-in?**
A: An agent plugin standard is an open, shared format for packaging AI agent skills and connectors so any compatible tool can load them, rather than each one being locked to a single vendor's ecosystem. OpenAI published one, Agent Plugins v1.0.0, on August 6, 2026, built on the Model Context Protocol with a multi-vendor steering committee. For MSPs it matters because portable packages let an automation built for one client be reused across the base, which is what turns one-off AI builds into a repeatable service line instead of work that has to be rebuilt whenever a vendor changes.

**Q: Do my clients have to label content their business makes with AI?**
A: As of August 2, 2026, the EU AI Act requires AI-generated content aimed at EU users to carry machine-readable markers, and chatbots and deepfakes to disclose they are AI. Model watermarks, like Anthropic's for Claude, only cover that vendor's own output and weaken on short or edited text, so a business cannot rely on them alone. Clients touching EU users should disclose AI chat, label synthetic media, and keep a record of where AI output is published, which an MSP can set up and document.

**Q: Why are the newest AI models' security skills locked behind vetting programs?**
A: Because the same capability that audits code for flaws can write exploits. OpenAI gated GPT-6 Astra's advanced cyber capabilities behind its vetted Daybreak program in September 2026, and Anthropic ships its Mythos line only to verified organizations in cybersecurity and life sciences. The practical effect for MSPs is that top-tier capability increasingly follows identity and vetting, so the provider who can pass verification and broker governed access to these tools holds a real advantage over one reselling generic seats.

**Q: Does Nvidia buying Hugging Face change which AI models my business can use?**
A: Not immediately. Nvidia committed to keeping Hugging Face open, multi-cloud, and free of any requirement to use its hardware after the roughly $12.9 billion deal announced September 3, 2026. The longer-term watch item is concentration: chips, model hosting, and the main open-model library now sit closer to one vendor. Businesses that keep workloads portable, meaning open weights they can rehost and integrations that can swap models, keep their options however ownership shifts.

**Q: Is AI still the top reason for layoffs?**
A: It leads 2026 year to date but stopped leading monthly. Challenger, Gray & Christmas counted 116,175 AI-attributed cuts through August, about 22% of all announcements, but in August itself AI fell to the fourth-most-cited reason while restructuring led. The nuance matters for planning: AI-attributed cuts cluster around rushed rollouts, while separate research keeps finding that the firms investing most in AI have been hiring more, not less.

**Q: What happens if California's new AI bills become law?**
A: Employers in California would face limits on AI surveillance of workers, including a ban on tools that read emotional state or neural data, chatbots would owe clearer disclosures, and health-care AI would take on medical confidentiality duties. Governor Newsom has until September 30, 2026 to sign or veto roughly 30 bills from the session. Businesses elsewhere are not bound by them, but California rules tend to set national expectations, so building disclosure and human-override practices into AI deployments now is the low-cost path.

**Q: How should a business protect its AI API keys?**
A: Treat them as production credentials. Anthropic's September 2026 threat report found attackers now steal AI API keys and session tokens because a stolen key delivers resale value, free compute, and cover, with the bill and the blame landing on the owner. Store keys in a secrets vault instead of code or config files, give each app and client its own key with spend caps and alerts, rotate keys after any malware incident, and buy AI access only through authorized channels, since fake resellers harvest credentials too.

**Q: Do professionals have to pass AI savings on to clients?**
A: Not as a settled rule. In June 2026 the IRS Office of Professional Responsibility suggested tax practitioners bill in a way that reflects reduced research and drafting time from generative AI, citing Circular 230's bar on unconscionable fees, and in September the AICPA asked for clarification, arguing the guidance ignores licensing, implementation, governance, and training costs as well as the shift to value pricing. Firms should document their full AI costs and the value delivered so their fees stay defensible either way.

## Proof Points

- 450x faster supplier selection for a manufacturing client running Synthreo agents
- Email inquiry processing reduced from 20 minutes to 16 seconds

## Company

- Name: Synthreo
- Website: https://synthreo.ai
- Contact: sales@synthreo.ai | +1-602-649-4979
- Support: help@synthreo.ai | https://synthreo.ai/support
- Documentation: https://docs.synthreo.ai
- LinkedIn: https://www.linkedin.com/company/synthreo

## Sitemap

Core pages:
- https://synthreo.ai/ — Home
- https://synthreo.ai/start-here — Start Here: what Synthreo is and why it exists
- https://synthreo.ai/our-tech — Platform overview
- https://synthreo.ai/our-tech/wingtip — Wingtip
- https://synthreo.ai/our-tech/pylon — Pylon
- https://synthreo.ai/our-tech/threo — Threo
- https://synthreo.ai/our-tech/canopy — Canopy
- https://synthreo.ai/msp-partners — MSP Partners overview
- https://synthreo.ai/msp-partners/start — Partner track: Start
- https://synthreo.ai/msp-partners/monetize — Partner track: Monetize
- https://synthreo.ai/msp-partners/scale — Partner track: Scale
- https://synthreo.ai/demo — Book a demo
- https://synthreo.ai/faq — Frequently asked questions
- https://synthreo.ai/about — About
- https://synthreo.ai/leadership — Leadership
- https://synthreo.ai/careers — Careers
- https://synthreo.ai/contact — Contact
- https://synthreo.ai/support — Support
- https://synthreo.ai/resources/case-studies — Case studies
- https://synthreo.ai/the-current — The Current: AI news for MSPs (current edition)
- https://synthreo.ai/terms — Legal

The Current edition archive:
- https://synthreo.ai/the-current/editions/020 — The Current Ed. 020 (2026-09-11): Anthropic's threat report says stolen AI keys are now what attackers are after
- https://synthreo.ai/the-current/editions/019 — The Current Ed. 019 (2026-09-09): OpenAI ships GPT-6 Astra with its hacking skills locked behind vetting
- https://synthreo.ai/the-current/editions/018 — The Current Ed. 018 (2026-08-14): Anthropic built an invisible watermark that flags text written by Claude
- https://synthreo.ai/the-current/editions/017 — The Current Ed. 017 (2026-08-10): Atlassian's Rovo AI can be tricked into quietly exfiltrating a client's Jira and Confluence data
- https://synthreo.ai/the-current/editions/016 — The Current Ed. 016 (2026-08-07): Capable AI is now free and unlimited for every client's staff, and the governance bill lands on MSPs
- https://synthreo.ai/the-current/editions/015 — The Current Ed. 015 (2026-08-06): An auth-bypass in N-able N-central is under active attack, and CISA set a patch deadline of today
- https://synthreo.ai/the-current/editions/014 — The Current Ed. 014 (2026-07-31): A hacker ran DeepSeek as an autonomous attacker against 460 targets by texting it commands
- https://synthreo.ai/the-current/editions/013 — The Current Ed. 013 (2026-07-30): Meta says a million businesses run its AI agents while its free cash flow falls 91%
- https://synthreo.ai/the-current/editions/012 — The Current Ed. 012 (2026-07-29): A public exploit is out for the actively attacked Check Point management console flaw
- https://synthreo.ai/the-current/editions/011 — The Current Ed. 011 (2026-07-28): Nvidia and 50 security vendors launch an open alliance to secure AI agents
- https://synthreo.ai/the-current/editions/010 — The Current Ed. 010 (2026-07-27): After an OpenAI model breached Hugging Face, its CEO demands the rogue agents' traces and $100M for open defense
- https://synthreo.ai/the-current/editions/009 — The Current Ed. 009 (2026-07-24): A single phishing link could spin up a rogue AI agent inside a company's ChatGPT workspace
- https://synthreo.ai/the-current/editions/008 — The Current Ed. 008 (2026-07-23): Glow launches from stealth at a $1.2B valuation to secure the AI-agent era on endpoints
- https://synthreo.ai/the-current/editions/007 — The Current Ed. 007 (2026-07-22): MSPs are being pushed from technical support to AI strategy advisor
- https://synthreo.ai/the-current/editions/006 — The Current Ed. 006 (2026-07-21): Actively exploited ServiceNow AI Platform flaw lets attackers take over the whole instance
- https://synthreo.ai/the-current/editions/005 — The Current Ed. 005 (2026-07-20): Brussels publishes the final transparency guidelines two weeks before the AI Act deadline
- https://synthreo.ai/the-current/editions/004 — The Current Ed. 004 (2026-07-17): OpenAI launches its first partner program with $150 million behind the channel
- https://synthreo.ai/the-current/editions/003 — The Current Ed. 003 (2026-07-14): AI Adoption Continues to Rise, but 70% Say They Need More Training to Use It Effectively
- https://synthreo.ai/the-current/editions/002 — The Current Ed. 002 (2026-07-10): AI Agent Exploits Langflow RCE to Automate Database Ransomware Attack
- https://synthreo.ai/the-current/editions/001 — The Current Ed. 001 (2026-07-08): AI costs more than the people it replaced

Careers:
- https://synthreo.ai/careers/ai-automation-specialist — AI Automation Specialist
- https://synthreo.ai/careers/frontend-engineer — Frontend Engineer (React)
- https://synthreo.ai/careers/fullstack-engineer — Full-Stack Engineer (.NET/React)
- https://synthreo.ai/careers/product-designer — Product Designer

Blog posts:
- https://synthreo.ai/blog/questions-coo-should-ask-ai-msp — 10 Questions Your COO Should Ask Before Delivering AI Services for Your MSP
- https://synthreo.ai/blog/questions-ceo-should-ask-ai-msp — 10 Questions Your CEO Should Ask Before Your MSP Commits to AI
- https://synthreo.ai/blog/questions-cto-should-ask-ai-platform-msp — 10 Questions Your CTO Should Ask Before Choosing an AI Platform for Your MSP
- https://synthreo.ai/blog/multi-model-ai-platform-for-msps — AI Vendor Lock-In for MSPs: Why a Multi-Model AI Platform Is No Longer Optional
- https://synthreo.ai/blog/why-multi-tenant-architecture-msps — Why Multi-Tenant Architecture Is Non-Negotiable for MSP AI Platforms
- https://synthreo.ai/blog/ai-as-a-service-for-msps — AI-as-a-Service for MSPs: How to Deliver AI to Your Clients (and Get Paid for It)
- https://synthreo.ai/blog/white-label-ai-platform-for-msps — White-Label AI for MSPs: What It Is, What to Look For, and How to Get Started
- https://synthreo.ai/blog/agentic-ai-vs-workflow-automation-msp — Agentic AI vs. Workflow Automation: What MSPs Need to Know Before They Build
- https://synthreo.ai/blog/how-ai-memory-works-msp-guide — How AI Memory Works and Why It's More Portable Than You Think
- https://synthreo.ai/blog/why-ai-deployments-fail — Why 95% of AI Deployments Fail (And How to Build the 5% That Succeed)
- https://synthreo.ai/blog/rag-101 — What Is RAG and Why Does It Matter for MSPs?
- https://synthreo.ai/blog/shadow-ai-digital-workers — Shadow AI Just Grew Hands: Why the Mexico AI Breach Should Terrify Every MSP

Research reports:
- https://synthreo.ai/research-reports/arlin-2-whitepaper — Arlin 2.0: How AI Unlocked an MSP Icon's Legacy of Leadership