[DOMAINS OF WORK]
The engineering studio powering 1000+ LSVs with Connex Display and building AI products across six industries.
GOVERNMENT TECHNOLOGY
Digital platforms for government workflows, filings, and public services
MARINE AI ENGINEERING
Applied artificial intelligence for maritime operations, documentation.
FLEET MANAGEMENT PLATFORM
AI platform for connected, intelligent fleet management.
HIRE RIGHT
AI-powered hiring platform for structured interviews, assessment and evaluation.
AI HEALTH TECHNOLOGY
AI-powered platform to securely organize, access, and share personal medical records.
AI-POWERED HUMAN MACHINE INTERFACE
AI-powered display and control systems
DIGITAL DOMI
Digitalizing mail, reducing physical junk
[PRODUCTS]
Production builds across mobility, govtech, healthtech, logistics, commerce, and embedded hardware. Different industries, same engineering bar.
[WHAT WE BUILD]
Six core capabilities. Sector-agnostic. We pick the right tool for the workflow, not the trendy one.
CUSTOM RAG SYSTEMS
Retrieval pipelines tuned to your domain, your documents, your accuracy bar.
EDGE/ON-DEVICE LLMS
Offline inference where data sensitivity, latency, or cost rules out the cloud.
CUSTOM AI AGENTS
Purpose-built agents that automate real workflows, not demo loops.
OCR & DOCUMENT INTELLIGENCE
Production-grade extraction from messy, real-world documents.
WORKFLOW AUTOMATION
End-to-end orchestration where AI is one piece of the pipeline, not the whole thing.
EMBEDDED AI SYSTEMS
When the product needs AI on the device, not in the cloud — we build the stack.
[FULL STACK AI]
01
Agent development
Multi-agent systems, planning loops, tool use, memory, hand-offs. We build on whatever framework fits your stack, not ours.
02
LLM integration
Model selection, structured outputs, function calling, fallback chains, cost-aware routing across cloud and open-weight models. The full integration layer, handled.
03
Retrieval and memory
Vector stores, hybrid search, chunking, re-ranking, long-term agent memory. We pick what fits your scale, not what we default to.
04
Edge and on-device
Sensitive data, latency requirements, offline operation. When the cloud isn't on the table, we ship inference to the device and own the full stack that comes with it.
05
Backend, MLOps, observability
Production services, deployment pipelines, eval suites, tracing. Everything that sits between a working demo and a system you can actually run.
06
Security and governance
Prompt injection defense, PII redaction, guardrails, audit logs, role-based access. Not an afterthought. In from the start.
[TOOLS WE USE]
We get asked this a lot, so here it is in one place. The frameworks, platforms, and tools our engineers ship on every day. If you already use it, we already know it.
[HOW WE BUILD]
We're a small, senior team. No layered agencies, no offshore handoffs. You work directly with the engineers building your product.
01
Discover
We map your workflow and identify where AI creates real leverage. If AI isn't the right answer, we'll tell you.
02
Build
Tight iteration cycles. Production-grade engineering from day one. Cloud, edge, or hybrid, we choose based on your constraints, not ours.
03
Ship
We get it into your product or your operation, then stay long enough to make sure it holds up.
[WHY TEAMS WORK WITH US]
No slideware, no strategy decks. Concrete things show up in your company by the time we're done, because we build for production from day one, not for the demo.
We've shipped real AI in production.
We build for production from day one.
We go deep when we need to.
We're honest about scope.
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We've shipped real AI in production across maritime, mobility, govtech, healthtech, and embedded automotive. Different industries, same engineering bar.
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Models, prompts, orchestration, all sitting in their infrastructure, which means they have leverage and you have dependency. Everything we build lives in your accounts from day one.
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We don't leave you with a system only we understand. Architecture decisions, eval suites, failure modes, runbooks, all written down. New engineers ramp in days, not months.
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We instrument what the AI replaces or accelerates: hours saved, tickets resolved, revenue unlocked. Reported clearly, not buried in a deck.
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We don't build something only we can maintain. We pair, review, and teach as we build. By the end of the engagement your team can ship the next one alone.
[DUBAI]
[USA]
[SINGAPORE]
[INDIA]
Send us a paragraph describing the problem. We'll come back within 48 hours with a candid take on whether it's worth building, and what it would take.