Built for legal professionals
A RAG knowledge system designed and deployed inside a judicial public institution's AI department.
Hello, we’reDataOptus
Production-ready AI systems, engineered for real businesses.
DRAG A NODE — LIVE GRAPH
SYSTEM CONSTELLATION
- RAG Systems
- AI Automation
- AI Infrastructure
- Custom AI Systems
- Build / Deploy / Scale
01STUDIORAG · AGENTS · INFRA
We build the systems behind the AI.
Dataoptus is an AI engineering collective building production-ready systems for businesses that need more than a prototype.
We design and build custom RAG systems, AI agents, automations, integrations, and AI infrastructure around the actual requirements of your business.
EDITORIAL / INTRODUCTION
02PHILOSOPHYNO WRAPPERS / REAL SYSTEMS
Not AIwrappersReal systems.
We don’t add abstraction for the sake of abstraction. We build the system your business actually needs.
- 01Direct APIs
- 02Custom orchestration
- 03Purpose-built architecture
- 04Full control
03PRINCIPLESHOW WE ENGINEER
ProductionFirst
We build for real workloads, real users, and real deployment — not just impressive demos.
— REAL WORKLOADS
BuiltFromtheCore
We avoid unnecessary abstraction and build the components your system actually needs.
— NO WRAPPERS
DesignedtoScale
Our systems are structured to evolve with your business instead of becoming technical debt.
— NOT TECHNICAL DEBT
04SYSTEMSWHAT WE BUILD
Four ways we put AI
to real work.
- 01 / RETRIEVAL / GENERATION
RAG Systems
Custom retrieval pipelines, document processing, embeddings, search, evaluation, and production APIs.
- 02 / AGENTS / WORKFLOWS
AI Automation
Business workflows, agents, API integrations, webhooks, and messaging automation.
- 03 / ORCHESTRATION / OPS
AI Infrastructure
Custom orchestration, backend systems, deployment, observability, and supporting infrastructure.
- 04 / ENGINEERED TO FIT
Custom AI Systems
Systems engineered specifically around a company’s unique workflow or product.
05ARCHITECTURETHE LAYERS
- 01UserWHERE THE VALUE LANDS
- 02InterfaceWHAT PEOPLE ACTUALLY TOUCH
- 03OrchestrationWHERE THE LOGIC LIVESCORE WORK
- 04ModelsCALLED WITH INTENT, NOT HOPE
- 05RetrievalTHE RIGHT CONTEXT, AT THE RIGHT TIME
- 06DataTHE GROUND TRUTH
- 07InfrastructureWHAT KEEPS IT RUNNING
BENEATH EVERY DEMO
The demo is only the surface.
An AI product is a building: the interface is the facade, but the structure — orchestration, retrieval, data, infrastructure — is what makes it stand. We engineer the whole structure, layer by layer, because a demo that can’t carry real work is decoration.
06PROJECTSSELECTED WORK
Systems we’ve built.
A selection of systems designed, engineered, and shipped — each one solving a real workflow problem.
FEATURED SYSTEM — THE ONE WE’RE MOST PROUD OF
OTHER SYSTEMS WE’VE BUILT
+1
MORE IN THE LAB
And more we’ve built.
Additional automation, knowledge, and vision systems shipped for clients — documented on request.
07EVIDENCEFROM SHIPPED SYSTEMS
Proof lives in the system.
The strongest evidence is the work itself: the context it was built for, the constraints it handles, and the outcomes it is designed to deliver.
2–4 second answers
Typical sourced answers generated within the system's performance target, with concurrent use supported.
Grounded by design
Answers are anchored in retrieved passages, with cited sources or an explicit refusal when the corpus lacks an answer.
08STUDIO NOTETHE HUMAN LAYER
Behind every system is a problem worth solving.
The interesting part of this work is never the demo. It’s the question underneath: what does this business actually need to run better? We like problems that start there — specific, unglamorous, real — and end as systems people quietly rely on every day.
- 01Production-ready systems
- 02Built around real workflows
- 03Designed to scale
09 / CONTACT — START A PROJECTBUILD / DEPLOY / SCALE
Have an AI systemworth building?
Tell us what needs to work better. A short project brief gives us the context for a useful first conversation.