01
AI Integrations
We embed models, retrieval, and agents into your existing stack. Built on the boring infrastructure that production demands.
LLM opsVector DBWebhooksAuth & SSO
CustomLabs · Applied AI studio Send us a brief
Applied AI, engineered for the
specifics of your business.
CustomLabs is a small studio of senior engineers who design, build, and ship production AI systems — agents, integrations, retrieval, document pipelines. Less talking. More working software.
- 01 Agents & automation
- 02 Retrieval & search
- 03 Document pipelines
- 04 Integrations
- 05 Evals & observability
Services / 01
Four disciplines.
Four disciplines.
One small studio.
We work with operators, not lab rats. Every engagement is shaped to ship a working system into your production environment — fast enough to matter, careful enough to last.
02
Custom Development
Bespoke applications and agents engineered for your specific operational reality. Production-grade, observable, and yours to own.
AgentsInternal toolsAPIsEval suites
03
Strategy & Architecture
Honest, technically literate roadmaps. We tell you what's worth building, what to buy, and what to skip.
AuditsArchitectureROI modellingVendor review
04
Readiness & Diligence
We assess data, infrastructure, and process — then deliver a written, defensible plan your board, your CTO, and your team can act on.
Data auditRisk registerPilot planKPI design
Capabilities / 02
We ship the boring parts well.
Demos are easy. Production is the work. We build the unglamorous parts — retrieval, guardrails, evals, observability — so the impressive parts still hold up six months after launch.
01
Conversational interfaces
Domain-tuned chat and voice systems with proper retrieval, guardrails, and a paper trail you can audit.
chat.respond(query, ctx) 02
Agentic workflows
Tool-using agents that run real operations — book, route, file, decide — with deterministic fallbacks and human-in-the-loop where it matters.
agent.run(plan, tools) 03
Document & data extraction
Structured output from invoices, contracts, forms, and long-form docs at production scale and cost.
extract(doc, schema) 04
Evaluation & observability
Eval suites, trace pipelines, and dashboards so quality stops being a vibes check and starts being a number.
evals.run(suite, model) The stack we build on All open standards
L4 · Interface
Chat Voice Internal apps APIs Webhooks
L3 · Reasoning
Agent runtime Routing Tool-use Memory
L2 · Retrieval
Vector store Hybrid search Re-ranking Caching
L1 · Foundation
Anthropic OpenAI Open-weight Self-hosted
L0 · Operations
Eval suites Tracing Cost guardrails Incident response
Process / 03
From first call
From first call
to handover.
Every engagement follows the same shape, sized to the problem. You'll always know what's happening, what's next, and what it costs.
- 01
Discovery
A short, structured working session. We map the problem, the data, and the constraints — and tell you honestly whether it's worth building at all.
- 02
Brief & estimate
You get a written brief: scope, architecture, risks, and an estimate you can hold us to. No surprises buried in week six.
- 03
Build & ship
We build in your environment and demo working software every week. Systems go to production as early as sensibly possible, not at the end.
- 04
Handover
Documentation, runbooks, eval suites, and a team that understands what it now owns. Yours to run — no vendor kill-switch.
Studio / 04
A small studio of senior engineers.
A small studio of senior engineers.
The people you brief do the work.
CustomLabs exists because we kept watching companies pay good money for slide decks and demo apps that never made it past the pilot. We'd shipped real systems inside real businesses long before the current AI cycle, and we knew it could be done better.
We work the other way: we embed with your team, write the spec alongside you, and put a working system into your environment within weeks — not quarters. We bring the infrastructure, the evals, and the discipline. You bring the domain expertise, the data, and the decisions that only you can make.
We're deliberately small. We take on a handful of engagements at a time, and the people you meet in the brief are the people who do the work.
Engage the studio → Operating principles
- 01
Build to ship, not to demo.
Every project leaves you with a system in production — not a deck in your inbox.
- 02
Boring infrastructure wins.
We use models like contractors use power tools. The interesting work is the system around them.
- 03
Eval-driven development.
If we can't measure it, we don't claim it. Every release rides on a test suite that mirrors the work.
- 04
Hand it back, properly.
Documented, observable, owned by you. Consultants — not vendors with a kill-switch.
Contact / 05
Tell us what you're
Tell us what you're
actually trying to do.
The best briefs we get are short, specific, and a little too honest. Send us the constraint, the deadline, the failure mode you're worried about. We'll write back with a real answer, not a sales sequence.