AI services that ship.
Measured, integrated, reliable.
We lead with production RAG agents, LLM integration, and AI reliability. We also build the backend, automation, MCP, voice, and product work around those systems when the scope calls for it.
Three ways to start
Fixed scope,
fixed edges.
Nobody decides to “hire an AI studio” on a first call. So we sell three named things instead, each with a stated end.
- 01Start here
RAG Eval Audit
We measure the AI you already shipped, and tell you exactly where it is wrong.
Fixed scope · one to two weeksMost teams ship an AI feature and then have no idea how often it is wrong. This is the smallest useful engagement we offer: we build an eval set against your real data, run your existing system through it, and hand you a number. If the system is fine, you have proof. If it isn't, you know which failures to fix first — before a customer finds them.
- An eval set built from your real data and your real questions, not a generic benchmark
- A measured accuracy and hallucination rate for your current system
- Ranked failure modes — what breaks, how often, and what it would take to fix
- The harness itself, handed over, so you can re-run it after every change
- 02Full build
Production RAG Build
A retrieval agent grounded in your data, delivered with the eval harness that proves it works.
Fixed scope · four to eight weeksThe full build: retrieval over your actual content, tool-calling into your actual systems, and an eval harness written before the implementation rather than after it. You get a launch threshold agreed up front, and we do not call it done until the numbers clear it.
- A production agent with retrieval over your documents, catalog, or internal data
- Tool-calling for real actions — lookup, booking, order capture, CRM writes
- An eval suite written before the build, with an agreed launch threshold
- Deployment, observability, cost controls, and a handover your team can operate
- 03Ongoing
Fractional AI Lead
Senior AI engineering judgment on your team, without the hire.
Monthly retainer · ongoingFor teams who have engineers but no one who has shipped AI to production before. We set the architecture, review the work, make the build-versus-buy calls, and stop the expensive mistakes early — the ones that only look obvious after you have paid for them.
- Architecture and model decisions made by someone who has shipped this before
- Code and design review on the AI surface of your product
- Evals, observability, and cost control set up as standard practice
- Direct access — your team asks, they get an answer the same day
What we lead with
Production AI work
with a quality bar.
These are the services with full briefs, delivery shape, and proof points from our own production stack.
- Available now
AI Agents & RAG Chatbots
Production RAG agents grounded in your real data, with tool-calling and a measured hallucination rate.
measured hallucination rate- Grounded answers from your documents, product catalog, or internal data
- Tool-calling for real actions such as lookup, booking, order capture, or CRM updates
- Eval report with measured accuracy, hallucination rate, and top failure modes
Best forSaaS teams adding a customer-facing or internal AI assistantScoped per projectRead brief - Available now
AI Agent Reliability & Evals
On-call reliability, eval suites, observability, and model/cost optimization for production AI agents.
<2hr incident response- <2hr response time on production agent incidents for retained engagements
- Reusable eval suite that catches regressions before they reach users
- Quarterly model, retrieval, and inference-cost review with rollback gates
Best forSaaS teams with an AI feature live in production and no clear owner for reliabilityScoped per projectRead brief - Available now
AI Integration for Existing Software
LLM features inside a real backend: streaming, auth, rate limits, retries, fallback, and cost control.
prod-grade integration- Production LLM feature shipped inside your existing product and permissions model
- Provider fallback, retry behavior, rate handling, and cost controls where needed
- Backend handover with docs, environment notes, and operational guardrails
Best forSaaS teams adding AI to an existing app without destabilizing the core productScoped per projectRead brief - Available now
Fractional AI Lead
A senior AI engineer and product lead on your team part-time — architecture, build oversight, and hands-on delivery, without a full-time hire.
- Senior AI architecture and build oversight without a full-time salary
- Hands-on delivery on the highest-risk parts, not just advice
- A team that levels up on evals, retrieval, and shipping AI that holds up
Best forFunded startups adding AI who need senior direction a few days a weekScoped per projectRead brief - Available now
AI Workflow Automation
n8n, Make, or Python pipelines that replace the manual handoffs eating your team's hours — with AI steps only where they earn it.
- Manual, repetitive handoffs replaced by pipelines that run on their own
- AI steps for classification, extraction, or drafting where they genuinely help
- Monitoring and error handling, so a failed run alerts you instead of silently dropping
Best forOps and support teams losing hours to copy-paste between toolsScoped per projectRead brief - Available now
AI-Powered Product & MVP Builds
Web and mobile products with AI built in, launched in 4–8 weeks — scoped hard to the core loop, on a stack that survives past launch.
- A launched, usable product in 4–8 weeks — not a prototype that stalls
- Web or mobile, with AI features grounded in your real data rather than a generic wrapper
- Scoped to the core loop that proves or kills the idea, on a stack that survives past launch
Best forNon-technical founders who need a technical partner to launchScoped per projectRead brief
More we build
Adjacent work we can scope.
Automation, voice, MCP, MVPs, internal tools, and consulting around the same AI + backend stack.
- Consulting
AI Audit & Roadmap
Where AI actually saves you money — a workflow audit, a prioritized roadmap, and a working prototype of the top use case.
View details → - AI
Voice Agents
Inbound and outbound phone agents on Vapi, Retell, or Bland — grounded in your data, taking real actions, not reading a brittle script.
View details → - Engineering
MCP Server Development
Expose your systems, data, and tools to Claude and AI agents as a secure MCP server — with auth, access control, and logging.
View details → - Consulting
GEO (Generative Engine Optimization)
Get your brand accurately represented and cited when ChatGPT, Perplexity, and Gemini answer questions in your space.
View details → - Engineering
Custom Software
Full-stack web apps in Java/Spring and Next.js — engineered to be maintained, with AI added only where it earns its place.
View details → - Engineering
Internal Tools
Dashboards, admin panels, and ops tooling built properly — Next.js for ownership or Retool for speed — wired into your systems.
View details → - Ops
CAS-Firm AI Sprint
A fixed-scope, six-week AI implementation built for accounting and advisory firms — targeting the repetitive work that eats billable hours.
View details →
How we work
Simple process.
Built to ship.
- 01
Scoping call
20 minutes. We tell you if it's a fit. No deck, no detour.
- 02
Pilot or proposal
Fixed-fee pilot when possible. Honest timelines. Honest gotchas.
- 03
Build + iterate
Weekly Looms. Slack channel. You see the work as it ships.
- 04
Hand-off or retain
Done? Documented hand-off. Want us on retainer? Same team.
Our promise
The fine print, up front.
We work how we'd want to be worked with. No tricks, no lock-ins, no surprise invoices.
30-day pilot
Try us with real work, not a deck.
Cancel anytime
No annual lock-ins, ever.
Fixed-fee or retainer
Predictable pricing. Never hourly surprises.
No setup fees
We earn from the work, not onboarding.
Not sure which fits?
We'll tell you straight.
20-minute scoping call. Honest answer on whether AI moves the needle for you — or whether something cheaper would.