# Agentix Labs — Montreal and New York AI engineering firm that designs, builds and operates custom production AI agents. > Source: The Agents Index — https://theagentsindex.com/agentix-labs (structured, researched, re-verified) > Facts last verified: 2026-10-08 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. | Fact | Value | | --- | --- | | Website | https://agentixlabs.com | | 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. | | Free tier | Partly | A 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** · Yes — Their 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. > — https://www.agentixlabs.com/services/custom-ai-agent-development/ · DIRECT ANSWER, 'What this service does' **Debugs and fixes** · Partly — It 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. > — https://www.agentixlabs.com/services/openclaw-implementation/ · FAQ, 'Can you optimize an existing OpenClaw deployment?' **Writes tests** · Partly — Tests 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 actions, and a rollback path. > — https://www.agentixlabs.com/services/custom-ai-agent-development/ · FAQ, 'What should the first production AI agent include?' **Reviews code** · Partly — It 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. > — https://www.agentixlabs.com/services/openclaw-implementation/ · Implementation workflow, step 1 **Whole-codebase work** · No — Engagements 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 actions, and a rollback path. > — https://www.agentixlabs.com/services/custom-ai-agent-development/ · FAQ, 'What should the first production AI agent include?' **Ships it** · Yes — The 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 organizations worldwide. > — https://www.agentixlabs.com/ · Homepage hero paragraph, beneath 'AI Engineering and Automation for Global Operations' **Done-for-you service** · Yes — This 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 organizations worldwide. > — https://www.agentixlabs.com/ · Homepage hero paragraph under 'AI Engineering and Automation for Global Operations' ## How much it does unattended **Runs autonomously** · Partly — Autonomy 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. > — https://www.agentixlabs.com/services/autonomous-ai-agents/ · Intro paragraph under heading 'Autonomous AI agents' **Multi-agent** · Yes — Multi-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 > — https://www.agentixlabs.com/ · Homepage 'Custom AI agent development' bullet list, fourth bullet **Agent permissions** · Partly — Delivered 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. > — https://www.agentixlabs.com/services/task-ai-agents/ · 'Production controls' section, closing sentence of the paragraph ## Which models it runs on **Claude** · Yes — Claude 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, enterprise integrations, evaluation, security, and operational rollout. > — https://www.agentixlabs.com/partners/anthropic-claude/ · Opening paragraph under 'Claude implementation for production agents and business workflows.' **GPT** · Yes — OpenAI 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. > — https://www.agentixlabs.com/neural-architectures/ · AI Ecosystem Integration section, OpenAI card **Open models** · No — Every 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 > — https://www.agentixlabs.com/ · Global delivery, local presence list, fourth item **Model choice** · Partly — The 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, and deployment pattern around that reality. > — https://www.agentixlabs.com/why-agentix-labs/ · 'Production-first engineering' section, second paragraph ## Where you use it **In a browser** · Partly — The 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 > — https://www.agentixlabs.com/why-agentix-labs/ · Section 'Specialized AI agent capabilities', bullet list ## Whose machine it runs on **Self-hosted** · Partly — Client-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 > — https://www.agentixlabs.com/why-agentix-labs/ · 'Production-first engineering' bullet list, final bullet **Open source** · Partly — The 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. > — https://www.agentixlabs.com/resources/openclaw-vs-custom-agent-frameworks/ · Opening paragraph under 'OpenClaw vs custom agent frameworks' ## What it costs to run **How it meters** · Partly — Billing 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. > — https://www.agentixlabs.com/resources/ai-agent-development-cost-canada/ · Section 'Useful planning bands', closing paragraph **Free tier** · Partly — There 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 case, data access, guardrails, and smallest useful pilot. > — https://www.agentixlabs.com/contact/ · Intro paragraph under 'Get a Free AI Workflow Teardown' **API access** · Partly — APIs 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. > — https://www.agentixlabs.com/services/task-ai-agents/ · Opening paragraph under 'Task AI agents' **MCP server** · Partly — MCP 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 tools, internal APIs, and client-owned infrastructure. > — https://www.agentixlabs.com/partners/anthropic-claude/ · 'Claude, MCP, and OpenClaw' section, first paragraph **Bring your own key** · Partly — Builds 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 tools, internal APIs, and client-owned infrastructure. > — https://www.agentixlabs.com/partners/anthropic-claude/ · 'Claude, MCP, and OpenClaw' section, first sentence ## Buying it for a team **A company can buy it** · Yes — Engagements 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 > — https://www.agentixlabs.com/about/ · 'Company facts' bullet list, fourth bullet **Seat model** · No — No 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. > — https://www.agentixlabs.com/resources/ai-agent-development-cost-canada/ · 'Useful planning bands' section, closing paragraph, second sentence **Pooled budget** · Partly — Budgets 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 > — https://www.agentixlabs.com/services/autonomous-ai-agents/ · 'Production controls' list, first item **Admin controls** · Yes — Constraining 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 conditions, and complete receipts. > — https://www.agentixlabs.com/resources/enterprise-ai-agent-development/ · 'Governance that runs in code' section, first sentence **Audit log** · Yes — Logging 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. > — https://www.agentixlabs.com/resources/ai-agent-read-write-access/ · 'Observability' bullet list, first bullet **Single sign-on** · Partly — Enterprise identity and tenant boundaries are named as an architecture foundation, but no SAML or OIDC support is stated anywhere on the site. > Enterprise identity and tenant boundaries > — https://www.agentixlabs.com/resources/enterprise-ai-agent-development/ · 'Architecture foundations' list, first item ## What happens to your code **Opt out of training** · Yes — The 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. > — https://www.agentixlabs.com/privacy-policy/ · Section 3, 'AI-Specific Disclosures', final sentence **Data residency** · Partly — Delivery 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 > — https://www.agentixlabs.com/about/ · 'Company facts' list, third item **Getting out** · Partly — Personal 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 data. > — https://www.agentixlabs.com/privacy-policy/ · Section 6, 'Your Privacy Rights', first sentence _Not established: Certifications_ ## Provenance Every fact above comes from the vendor. Nothing here is independently corroborated yet. ## Coverage elsewhere None recorded. Every fact above comes from the vendor and is not independently corroborated yet. ## What changed - 2026-10-08 — Capabilities · Commercial terms · Free tier - 2026-10-07 — Capabilities · Commercial terms · Free tier - 2026-10-06 — Capabilities · Commercial terms · Free tier - 2026-10-04 — Capabilities · Commercial terms · Free tier - 2026-10-03 — Capabilities · Commercial terms · Free tier - 2026-09-29 — Capabilities · Commercial terms · Free tier ## Correcting this record Anything marked "Not established" is a question we have not answered — it is not a No. If you represent Agentix Labs, or anything here is wrong or out of date, you can supply it with a source: the operations this site accepts from an agent are listed at https://theagentsindex.com/.well-known/agents.json — that catalogue needs no key to read, and each entry states its own auth. Supplying evidence is free. 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