iSystematic is an applied-AI studio for teams who want more than another demo. We design, ship and operate agentic systems, copilots and the data infrastructure that makes them work in the real world.
Five practice areas covering the lifecycle of an AI product — from the architecture sketch on a napkin to the on-call rotation that keeps it running.
All services →Multi-agent systems with planning, memory and tool use — wired into your real data, your real workflows, and your real guardrails.
Prompts, RAG, evals, observability and deployment — production-grade from day one.
Reference architectures, model selection, latency & cost economics, governance.
Lakehouse, feature stores, embeddings infrastructure, real-time pipelines.
Training, evaluation, drift detection and lifecycle — the unglamorous parts done right.
Every engagement begins with a working architecture, an honest eval, and a path to production. No vapor. No vibes. The reasoning is on the page.
Two of our internal labs grew into standalone products. Both are live, both are paying — and both are reference architectures for the work we do for clients.
The behavioral intelligence layer for Claude. Every output cites a peer-reviewed framework, clears 14 compliance checks, and carries an audit-grade confidence rubric. Free Starter tier forever; 300 free 12-month licenses live.
Maxim for Claude Code →
An AI customer-experience engine. Reads, understands and acts on every inbound message across 10 channels (WhatsApp, email, Telegram, web chat & more). 21 MCP tools and 6 Playbooks — live in hours, not weeks.
ARIA customer experience platform →
An AI copilot for field-service and repair teams. Triages tickets, recommends parts and procedures, and streamlines work orders from intake to invoice — with the on-the-ground reality of the technician in the loop.
FixIt field service copilot →The way we deliver hasn't changed in twelve years, even though the technology has. Discover, architect, build, operate — and the same people through all of it.
Workshops with your domain experts. We map the workflow, surface the constraints, and identify where intelligence actually moves the needle.
Model selection, system design, eval framework, cost & latency budgets. The blueprint before the build.
Tight iteration loops. We ship a working slice in weeks, not a slide deck in quarters. Your team is in the room.
Observability, guardrails, drift monitoring, on-call. We hand off when you're ready — and keep the lights on while you grow into it.
Beyond the AI core, we ship the foundations. Cloud, data, integration, security and the rest of the boring-but-critical stack — the things that make AI actually useful.
LLM apps, RAG, copilots, summarisation.
Learn more →Planning, tool use, multi-agent orchestration.
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Audit-grade outputs, behavioural frameworks, 14-framework compliance gates.
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Forecasting, classification, recommenders.
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Pipelines, lakehouse, real-time analytics.
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Decision dashboards & data products.
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Re-platforming and operating-model work.
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AWS, Azure, GCP — CI/CD, IaC, SRE.
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Headless services, event-driven systems, MCP servers.
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Connected devices, gateways, edge ML.
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Immersive interfaces for training & ops.
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Smart contracts, tokenisation, custody.
Learn more →Threat modelling, AI red-teaming, audits.
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Fractional CTO, advisory, due diligence.
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Technology roadmaps for ambitious teams.
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Application support for R&D & innovation grants.
Learn more →“We hire engineers who also design, and designers who alsoship. Twelve years in, our team is the smallest senior bench we’ve ever had — and the best work we’ve done is the work we’re shipping right now.”
Field notes, playbooks and a few opinions. Written by the engineers shipping the work, not a marketing team.
All writing →The unglamorous middle layer between prompt and production — evals, retries, tracing — is where every shipped agent really lives.
Read note →Patterns we've used across logistics, healthcare and finance to ship retrieval systems that hold up under regulated, real-world load.
Read note →Per-token math, caching strategies, and the architectural moves that compound on your bill — for better or for worse.
Read note →What iSystematic builds, how an engagement runs, and who is behind it.
iSystematic is an applied-AI studio that designs, builds and operates AI systems in production. iSystematic's work covers agentic systems, LLM copilots, retrieval pipelines and the data infrastructure that makes them work, from prototype through to running the result.
iSystematic Inc. is a Canadian company headquartered in Winnipeg, Manitoba. iSystematic works with clients across Canada, the United States and internationally, and operates as a distributed senior team rather than from a single office.
Use the contact form on this site. iSystematic responds to project inquiries within one business day, Monday to Friday.
iSystematic takes on agentic systems and copilots, LLM products with custom retrieval, AI governance and compliance work, data and MLOps infrastructure, and architecture or strategy engagements for organisations getting started with AI.
Yes. After iSystematic ships a system, iSystematic can run it. Monitoring, evaluations, model and prompt updates, retraining cadence and on-call coverage are part of how iSystematic operates AI systems.
iSystematic Inc. was founded by Nabeel Khan and has operated since 2013. Nabeel Khan founded the studio and serves as its Director, Solutions Architecture, and writes on AI governance and agentic systems.
On advisory engagements, yes. iSystematic is a studio with a team of builders, and product work is delivered by that team. Nabeel Khan's advisory engagements, covering AI strategy, enterprise AI architecture and AI governance, are delivered by him personally rather than passed to staff, and they are scoped that way from the start.
iSystematic scopes each engagement to the problem rather than selling fixed packages. Engagements typically start with a short discovery phase to size the work before any build commitment, and pricing is discussed on the intake call.
iSystematic works in four phases: Discover, Architect, Build and Operate. A working slice of a system is normally in a client's hands within weeks of the Architect phase rather than at the end of a long build.
Most engagements start with a 30-minute conversation and a short architecture sketch. No SOW theatre, no boilerplate decks.
