AI development
services
From agentic AI and LLM applications to computer vision and robotics, INVT designs, builds, and scales the AI, plus the engineering and UX to ship it. One team, from concept to production.
Agentic AI development
LLM applications
AI integrations and co-pilots
Computer vision
AI robotics
AI strategy, consulting and delivery
Full-stack engineering
UX and product design
Cloud and DevOps
Agentic AI development
We build autonomous, multi-step AI agents that reason, use tools, and take real actions across your systems, from single agents to orchestrated multi-agent workflows that run production work.
Agentic AI development
We build autonomous, multi-step AI agents that reason, use tools, and take real actions across your systems, from single agents to orchestrated multi-agent workflows that run production work.
LLM applications
Production LLM applications on your data: retrieval-augmented generation, knowledge assistants, summarization, extraction, and classification, built to be accurate, fast, and cost-aware.
AI integrations and co-pilots
We embed AI into the tools your team already uses, such as CRMs, Slack, email, and internal systems, so it does the work where the work happens instead of in a separate app.
Computer vision
Real-time perception and visual AI for AR/VR, spatial computing, and 3D scanning, engineered to run on the demanding edge of the physical world.
AI robotics
Learning-from-demonstration robotics that automate dexterous, repetitive tasks without programming, the technology behind our Ludis product.
AI strategy, consulting and delivery
Not sure where AI fits? We find the highest-ROI use case, then run the engagement end to end - senior technical consultancy, agile project management, and clear specifications - from a proof of concept to production.
Full-stack engineering
The web, mobile, backend, and cloud engineering to turn an AI prototype into a real, scalable product, delivered by one team with no handoffs.
UX and product design
Research-driven product and interface design that makes AI usable and trustworthy, and genuinely better than the workflow it replaces.
Cloud and DevOps
Scalable, secure, observable infrastructure for AI workloads, from data pipelines to deployment, on the major cloud platforms or private clusters.
How we work
A clear, AI-focused methodology that takes you from "where does AI fit?" to a production-grade system your team trusts.
Phase 01
Discovery
- ·Stakeholder interviews and workflow mapping
- ·As-is process documentation
- ·AI suitability assessment
- ·Data and systems audit
- ·Opportunity prioritisation
Phase 02
Design
- ·Agent architecture design
- ·Data pipeline and retrieval strategy
- ·Human-in-the-loop integration design
- ·UI/UX approach (3rd party or custom)
- ·To-be workflow documentation
Phase 03
Build
- ·Custom agent development
- ·Vector, relational and knowledge graph layers
- ·System and API integrations
- ·3rd party UI integration (Slack, Teams, web)
- ·Iterative deployment and refinement