Summary
Agentix Labs is a Canadian AI engineering and automation company that builds custom retrieval, task, autonomous and multi-agent systems for client workflows. Engagements start with a free workflow teardown and cover architecture, integrations, evaluation, approvals and production rollout.
- Best for
- Ops leaders wanting a partner to build and govern production AI agents
- Not for
- Teams wanting self-serve software with transparent pricing or a public API; Agentix Labs is a sales-led engagement with no published price list and no product to sign up for.
- Price
- Fixed public price claims are often misleading without these boundaries. Ask vendors to separate discovery, build, third-party usage, infrastructure, support, and future change costs.no public pricing
- Free tier
- PartlyA free AI workflow teardown or consultation: one workflow is prioritised and you receive a one-page recommendation covering business case, data access, guardrails and a pilot scope. No free product access, and no figure is published for the build that follows.
What it does
- Writes code
- YesTheir engineers build the agent itself as a bespoke engagement, so you are buying custom software delivery rather than a coding agent that authors code from a prompt.
Agentix Labs designs the agent architecture, connects it to the existing stack, and hardens it for repeated use.
agentixlabs.com/services/custom-ai-agen… - Debugs and fixes
- PartlyIt diagnoses and hardens an existing agent deployment during a teardown; no page offers debugging of a client's general application code.
Yes. We can audit and improve agent structure, integrations, performance, workflow reliability, and operational visibility.
agentixlabs.com/services/openclaw-imple… - Writes tests
- PartlyTests here mean workflow acceptance and evaluation cases for the agent, not unit tests written into a client's repository.
Start with one owned workflow, a narrow permission set, explicit acceptance tests, logs for every tool call, a human approval point for risky…
agentixlabs.com/services/custom-ai-agen… - Reviews code
- PartlyIt reviews an existing deployment's configuration, secrets and connector boundaries; nothing on the site offers pull-request or diff review.
Audit the current OpenClaw use case, users, tools, deployment target, and integration requirements.
agentixlabs.com/services/openclaw-imple… - Whole-codebase work
- NoEngagements are deliberately scoped to one workflow with a narrow permission set; nothing describes carrying a change across a repository.
Start with one owned workflow, a narrow permission set, explicit acceptance tests, logs for every tool call, a human approval point for risky…
agentixlabs.com/services/custom-ai-agen… - Ships it
- YesThe firm takes engagements through to live operation rather than stopping at a prototype, deploying production agents with logging, approvals and rollback paths.
Agentix Labs designs, builds, and deploys production-ready AI agents, agentic workflows, voice agents, and intelligent automation systems for…
agentixlabs.com - Done-for-you service
- YesThis is a delivery firm, not software you buy: its team designs, builds and deploys the agent systems into the client's own workflows, starting from a workflow teardown.
Agentix Labs designs, builds, and deploys production-ready AI agents, agentic workflows, voice agents, and intelligent automation systems for…
agentixlabs.com
How much it does unattended
- Runs autonomously
- PartlyAutonomy is deliberately bounded and earned: consequential actions stop for human approval, and the firm says it raises autonomy only after supervised evidence supports the change.
Agentix Labs treats autonomy as an engineering control—not a marketing label—and increases it only after supervised evidence supports the change.
agentixlabs.com/services/autonomous-ai-… - Multi-agent
- YesMulti-agent systems with a supervising orchestrator are an advertised build pattern, with human escalation designed in rather than agents left to coordinate unsupervised.
Multi-agent systems with orchestration and human escalation
agentixlabs.com - Agent permissions
- PartlyDelivered agents run under least-privilege scoped tool contracts, and external or consequential writes are designed to halt for a named human approver unless risk is low and reversible.
Consequential or external actions should stop for human approval unless the risk is demonstrably low and reversible.
agentixlabs.com/services/task-ai-agents
Which models it runs on
- Claude
- YesClaude is a named specialism with its own partner page: the firm states it participates in Anthropic's partner network and builds Claude-powered tool-using agents.
Agentix Labs participates in the Claude Partner Network and provides Claude implementation services for production AI agents, tool-using workflows,…
agentixlabs.com/partners/anthropic-clau… - GPT
- YesOpenAI is listed among the platforms it integrates, though no service page or case study names a delivered GPT build.
OpenAI revolutionizes AI with advanced research and groundbreaking large language models like GPT-4.
agentixlabs.com/neural-architectures - Open models
- NoEvery model platform named anywhere on the site is a hosted proprietary service; no open-weight model appears, including in the eight-card ecosystem set.
Claude, OpenClaw, Vapi, Botpress, Salesforce, and Microsoft-centered workflows
agentixlabs.com - Model choice
- PartlyThe firm picks the model and architecture per workflow rather than selling one stack, and says it does not force OpenClaw into every project, but no supported-model list is published.
Agentix Labs starts with the workflow and operating risk, then designs the model, tools, memory, integrations, approvals, evaluation cases, logging,…
agentixlabs.com/why-agentix-labs
Where you use it
- In a browser
- PartlyThe firm builds customer-facing web and messaging agents for clients, so a web surface exists in the delivered systems rather than as an Agentix-hosted application a buyer logs into.
Botpress customer-facing agents
agentixlabs.com/why-agentix-labs
Whose machine it runs on
- Self-hosted
- PartlyClient-owned deployment is offered but explicitly conditional on the architecture permitting it, so a buyer cannot assume their own infrastructure on every engagement.
Client-owned deployment options where the architecture permits
agentixlabs.com/why-agentix-labs - Open source
- PartlyThe firm implements and hardens the open-source OpenClaw workspace for clients, but publishes no source of its own; what you receive is a bespoke build, not an open repository.
Choose OpenClaw when you need an extensible agent workspace with messaging channels, tools, sessions, skills, and operator workflows.
agentixlabs.com/resources/openclaw-vs-c…
What it costs to run
- How it meters
- PartlyBilling is per engagement in phases - teardown, pilot, production deployment, enterprise programme - with third-party usage, infrastructure and support called out as separate lines, but no rate, day rate or unit price is published.
Ask vendors to separate discovery, build, third-party usage, infrastructure, support, and future change costs.
agentixlabs.com/resources/ai-agent-deve… - Free tier
- PartlyThere is a free way in but it is a consultation, not product access: one workflow is reviewed and you leave with a one-page recommendation, with any build quoted separately.
Bring one workflow, agent idea, or OpenClaw deployment question. Agentix Labs will return a practical one-page recommendation covering the business…
agentixlabs.com/contact - API access
- PartlyAPIs live inside what it builds for you, as typed tool contracts on delivered task agents; Agentix publishes no product API of its own.
Agentix Labs builds task agents with typed tool contracts, least-privilege access, validation, idempotency, human approvals, and complete action logs.
agentixlabs.com/services/task-ai-agents - MCP server
- PartlyMCP appears as something they implement inside client architectures, not as a server a buyer can query Agentix Labs through; no endpoint of their own is documented.
Agentix Labs implements Claude in architectures that may include Model Context Protocol servers, OpenClaw workspaces, messaging surfaces, browser…
agentixlabs.com/partners/anthropic-clau… - Bring your own key
- PartlyBuilds are designed to sit on client-owned infrastructure and internal APIs where feasible, with credentials kept outside prompts, but the site states no explicit bring-your-own-key policy.
Agentix Labs implements Claude in architectures that may include Model Context Protocol servers, OpenClaw workspaces, messaging surfaces, browser…
agentixlabs.com/partners/anthropic-clau…
Buying it for a team
- A company can buy it
- YesEngagements are sold to organisations rather than individuals, with the firm naming business workflow owners and procurement-style evidence requests as part of the buying process.
Serving businesses across Canada and North America
agentixlabs.com/about - Seat model
- NoNo seat or per-user licence exists; the cost components the firm enumerates are discovery, build, third-party usage, infrastructure, support and change.
Ask vendors to separate discovery, build, third-party usage, infrastructure, support, and future change costs.
agentixlabs.com/resources/ai-agent-deve… - Pooled budget
- PartlyBudgets exist, but as per-agent action and spend limits designed into the workflow, not as a balance shared across seats.
Explicit goals, stop conditions, and action budgets
agentixlabs.com/services/autonomous-ai-… - Admin controls
- YesConstraining the agent is the core of the delivery method: permitted actions, data scope and tool access are made explicit per workflow and policies are implemented as executable checks.
Policies should become executable controls: permission checks, content and data boundaries, approval gates, spending or action budgets, stop…
agentixlabs.com/resources/enterprise-ai… - Audit log
- YesLogging every tool call, approver and output is presented as a build requirement, with before/after record state captured where possible and failures reviewed during the pilot.
Log inputs, retrieved records, tool calls, outputs, approvals, failures, and rollback actions.
agentixlabs.com/resources/ai-agent-read… - Single sign-on
- PartlyEnterprise identity and tenant boundaries are named as an architecture foundation, but no SAML or OIDC support is stated anywhere on the site.agentixlabs.com/resources/enterprise-ai…
What happens to your code
- Opt out of training
- YesThe privacy policy commits to not training public models on client private data without explicit consent, making no-training the default rather than a setting you must find.
We do not use your private data to train public AI models without your explicit consent.
agentixlabs.com/privacy-policy - Data residency
- PartlyDelivery is from Montreal, Quebec for Canadian and North American clients, and deployments can be client-owned; no hosting region or residency guarantee is published.
Based in Montreal, Quebec, Canada
agentixlabs.com/about - Getting out
- PartlyPersonal data access, correction and deletion are offered on request by email, and deployments can be client-owned, but no export format or handover terms are published.
Depending on your location, you may have certain rights regarding your personal information, such as the right to access, correct, or delete your…
agentixlabs.com/privacy-policy
Not established: Certifications
30 sourced claims on this page. Checked 2026-10-08. How we check.
Filed under
Sources and updates
Pages we read on agentixlabs.com23
Every fact below comes from the vendor. Nothing here is independently corroborated yet.
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- /services/autonomous-ai-agents5 fields
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- /partners/anthropic-claude4 fields
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- /resources/openclaw-vs-custom-agent-frameworks3 fields
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Updates6
- Capabilities · Commercial terms · Free tier
- Capabilities · Commercial terms · Free tier
- Capabilities · Commercial terms · Free tier
- Capabilities · Commercial terms · Free tier
- Capabilities · Commercial terms · Free tier
- Capabilities · Commercial terms · Free tier
