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Software & AI services

Intelligence that holds at scale.

We design, build, and deploy production systems: AI, agents, products, and the servers they run on. Work that has to hold — not a brochure site.

Services

What we build and ship.

All services
  • AI development

    Production GenAI on your stack — models, pipelines, and the services around them.

  • Chatbots

    Support, internal, and domain bots that stay on-policy and on-record.

  • RAG systems

    Retrieval that is evaluated, traced, and used by people who are on the clock.

  • Agents

    Tool-calling agents with contracts, abort paths, and observable loops.

  • Multi-agent systems

    Coordinated graphs: specialists, handoffs, and a single source of truth.

  • Tools & MCP development

    Custom tools and Model Context Protocol servers your agents can actually call.

  • Enterprise ERP development

    Domain ERPs that keep trips, stock, billing, and attestation on one ledger.

  • Web & PWA

    Installable web apps that work on a bad network and still feel like a product.

  • Mobile app development

    iOS, Android, and offline-first clients that survive the last mile.

  • End-to-end products

    From brief to shipped product: web, mobile, APIs, and the ops around them.

  • Server development

    APIs, gRPC, event-driven backends, and the data paths they sit on.

  • AI inference

    Serving, batching, routing, and cost control once the prototype has to run.

  • Deployments

    Kubernetes, CI/CD, observability, and a runbook someone can follow at 2am.

Work

Systems that already had to be true.

Tools we use

Go
Kubernetes
Redis
MongoDB
React
TypeScript
Node.js
Python
Docker
LangChain
LangGraph
Next.js
Electron
Expo
PostgreSQL
Cloudflare
Go
Kubernetes
Redis
MongoDB
React
TypeScript
Node.js
Python
Docker
LangChain
LangGraph
Next.js
Electron
Expo
PostgreSQL
Cloudflare

Voices

Specific work. Named people.

They took a path that was missing SLAs and left us with a gRPC fabric that holds at ten thousand TPS. The work was quiet. The P99 was not.
Stripe
Maya Chen
VP Engineering, Stripe
We had six products pretending to be one ERP. Luminatech decomposed the trip, billing, and attestation flows so invoices could not lie. That is the kind of boring that makes money.
Databricks
Rohit Malhotra
CTO, Databricks
Most vendors demo a notebook. They shipped RAG with evals, traces, and an on-call summarizer the SRE team actually opens. Production, not a slide.
Anthropic
Elena Voss
Head of Applied AI, Anthropic

Approach

Diagnostic. Studio sprint. Embedded principal.

Timeboxed, senior-led, one production outcome. If you need a brochure site, this is the wrong studio.

How we engage
  1. 01 Diagnostic2–3 weeks

    A fixed-scope look at the system under strain. Architecture, failure modes, and a written path to one production outcome. Thinking before building.

  2. 02 Studio sprint8–12 weeks

    One live workflow on your stack. Senior-led the whole time. Evals, observability, and handoff — not a slide deck of next steps.

  3. 03 Embedded principalMonthly seat

    You get the person who ships. Dedicated, not a bench. Architecture, reviews, and the hard path — never staff augmentation language.

Not for: Brochure sites and redesigns · “We need a developer” body-shop work · WordPress, packages, or a public rate card · AI demos that never leave a notebook