AI that actually ships.
An AI + backend studio. We build production RAG agents, integrate LLMs into real software, and keep them reliable — shipped with a measured accuracy rate, not a demo. And we build our own products on the same stack.
Studio model
Services that fund us.
Products that prove us.
Client work funds the studio.
We sell AI + backend engineering: production RAG agents, LLM integration, reliability evals, and the backend systems that make those features hold up in production.
- —RAG agents grounded in real data
- —LLM features inside existing software
- —Evals, observability, and reliability retainers
- —Fixed-fee builds or senior retainer support
We build on the same stack.
Iris and Nous are our proof loop: conversational commerce and channel-agnostic agent infrastructure built with the same retrieval, backend, and reliability patterns we use for clients.
- —Iris for f-commerce storefront conversations
- —Nous as the channel-agnostic commerce engine
- —Spring Boot, pgvector, Gemini, and production deployment
- —Product lessons feed back into service delivery
What we're building for clients today
Practical AI.
Shipped in weeks.
- 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
Need something else? We build that too.
More capabilities we take on around the same AI + backend stack.
How we work
From scope to shipped system.
- 01
Scoping
Clarify the user, data, system boundary, and quality bar before we propose work.
- 02
Pilot or proposal
Fixed-fee pilot when risk is high; direct proposal when the path is clear.
- 03
Build + measure
Ship in your stack, measure AI behavior, and surface tradeoffs while the work is live.
- 04
Hand-off or retain
Document the system, train your team, or stay on for reliability and iteration.
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.
Questions
Things buyers ask us first.
Most audits can start within 5 business days. Fixed-fee builds usually begin with a short scoping phase, then a pilot or implementation plan.
Dhaka gives us a deep senior engineering pool and lets us deliver founder-led, without agency layers. You work directly with the engineers building your system, and every build ships with a measured quality bar — that's the advantage, not geography.
No. We build RAG agents, eval systems, LLM features inside existing software, automation, MCP servers, voice agents, and full-stack backend work.
20-min scoping call → written proposal → kickoff. You get a shared channel, working demos, measured quality where AI is involved, and clear handover notes.
Products keep us honest. Iris and Nous use the same RAG, agent, backend, and reliability patterns we sell to clients.
Founding cohort
Ten client slots.
50% off list.
We're taking our first ten clients at design-partner pricing. You work directly with a senior engineer from scope through hand-off, with no account-manager layer and no handoff to junior delivery teams.
- Design-partner pricing for the first engagement
- Weekly working sessions with a senior engineer
- Permission-based proof points after delivery
- Standard cancel-anytime terms still apply
Filled on a first-come basis once we've scoped your engagement.
Let's ship something
that pays for itself.
20-minute call. We'll tell you straight whether AI moves the needle for your business — or whether something simpler would.