[ 01 / Services ]

Custom AI Development

End-to-end AI products: agents, copilots, RAG systems, and autonomous workflows built for production.

[ Capabilities ]

01
Agent Architectures
02
RAG Pipelines
03
Tool-Use Protocols
[ Overview ]

Custom AI Development

We design and ship end-to-end AI products — agents, copilots, RAG systems and autonomous workflows — engineered for the real world. Every system is specced against measurable outcomes, not demos: latency budgets, cost ceilings, eval suites and rollback paths are part of the blueprint from day one.

Our team has shipped production AI for fintech, health-tech, logistics and SaaS leaders. We pick the right model for the job (Claude, GPT, Gemma 4, Llama 3 or fine-tuned in-house adapters), wire it into your stack with proper observability, and harden it against the failure modes that kill most AI MVPs in production.

The result is software that behaves like infrastructure, not a science experiment — predictable, observable and easy for your team to own after launch.

[ What you get ]

  • Production-ready AI product (frontend + backend + model layer)
  • Custom evaluation harness with regression suite
  • Observability stack: traces, cost dashboards, prompt versioning
  • Documentation and team handover with runbooks
  • 30 days of post-launch optimization included
[ Where it shines ]

Where it shines

01

Internal copilots

Domain-aware assistants that read your data and act inside your tools.

02

Customer-facing agents

Support, sales and onboarding agents with guardrails and human escalation.

03

RAG over private data

Hybrid retrieval pipelines indexed across docs, tickets and structured stores.

04

Autonomous back-office

Long-running workflows that triage, draft, decide and route across systems.

[ Tools & stack ]

Claude · GPT · Gemma 4 · Llama 3TypeScript · Python · RustPostgreSQL · pgvector · QdrantTemporal · Inngest · LangGraphOpenTelemetry · Langfuse
[ Frequently asked ]

Frequently asked

01How is this different from wiring up an LLM API?

We design for the failure modes — evals, fallbacks, cost ceilings, observability — that decide whether an AI feature survives contact with real users.

02Do you work with our existing engineers?

Yes. We embed alongside your team, ship with their conventions, and hand over a system they can extend without us.

03Who owns the code and the model weights?

You do. 100%. Including any fine-tuned adapters we train on your data.

[ 01 ]

What we deliver

UltraMVP combines deep model expertise with battle-tested production engineering. Every engagement ships measurable outcomes — not just prototypes — built on a stack that includes Claude Code, OpenAI Codex, and custom Gemma 4 fine-tuned adapters.

  • Agent Architectures
  • RAG Pipelines
  • Tool-Use Protocols
[ 02 ]

How we work

  1. Step 01
    01

    Discovery and technical audit (1 week)

  2. Step 02
    02

    Architecture and model selection

  3. Step 03
    03

    Build, evaluate and harden for production

  4. Step 04
    04

    Deploy with observability and on-going optimization

Ready for the edge?

End-to-end AI products: agents, copilots, RAG systems, and autonomous workflows built for production.

Book a discovery call→
← Back
[ MORE SERVICES ]
Services →
02
Custom Model Training

Fine-tuning Gemma 4, Llama 3 and proprietary architectures on your data for niche domain mastery.

03
Claude Code & Codex Integration

Leverage the latest Anthropic and OpenAI coding agents to automate complex software lifecycles.

04
Rapid MVP Engineering

From blueprint to production in 4 weeks. High-fidelity AI MVPs built for scale from Day 1.