23+
AI Agents
Built for real enterprise workflows
DeepTech · Research · Platform · Products
AI for domains where a wrong answer costs more.
Loss you cannot locate. Gaps you cannot map. Anomalies no team can review. We research the domain, engineer the platform, and ship software that runs in production. Not another pilot.
DTRIHub
Research · the method proved against a baseline
4
Proprietary Algorithms
Innopas IP behind smarter decisions
4
Core Solutions
DeepTech, Data Spine, AI Engine, Cloud Mesh
10+
DeepTech Innovators
Builders, researchers and engineers
lalla.ai · platform topology · drag to turn
platform & research
utility branch
education branch
not built yet
DeepTech
Data Spine
AI Engine
Cloud Mesh
Five layers, bottom to top: DTRIHub research; the lalla.ai platform core with six capabilities; the utility knowledge graph and concept graph; the EUNIQ and TopSyllabus products; and the surfaces — Lalla Chat, dashboards and APIs, field and operations. Four solutions orbit the core: DeepTech, Data Spine, AI Engine and Cloud Mesh.
Five layers, bottom to top. The bottom two are built once and shared; only the top layers change per product. Four solutions orbit the core, and each is a way in.
The Innopas model
From a hard problem to a working product.
Enterprise AI stalls when generic models meet complex reality. A grid has topology. A syllabus has structure. A business has rules, evidence, risk and decisions. We start with the domain, not the demo.
01 / DTRIHub
Research the domain.
Our DeepTech Research & Intelligence Hub develops the methods that make generic AI useful in complex environments, and with university research groups and PhD advisors.
Domain graphsEvidenceAlgorithmsGuardrails
Inside DTRIHub ↗
02 / lalla.ai
Never start from scratch.
lalla.ai is the platform underneath everything we build — agents, retrieval, evidence, guardrails, evaluation and deployment, already done. You bring the domain and the data. License it and build on it with your own team, or have us build on it for you.
23+ agentsGraph retrievalEvidence & guardrailsRuns where your data lives
Inside lalla.ai ↗
03 / Products
Build the product.
The method becomes software we own: EUNIQ for energy and utility networks, TopSyllabus for education. Each adds only its domain: the platform beneath it is already built.
EUNIQTopSyllabusBuilt on lalla.ai
See the products ↗
Bring one problem to a 30-minute call.
The engineers who would do the work, not a sales team. You leave with a straight read on whether it is solvable today, whether it needs research first, and roughly what a first build would take. Including when the answer is that you should not build it.
Where to start
Choose the right path to value.
Not every business problem needs a custom build. Start with a solution when the question is open, a product when the need repeats, or a partner platform when proven technology already exists.
01 / Solutions
Start with a solution.
For open questions that need research, architecture and a practical first build, and DeepTech, Data Spine, AI Engine and Cloud Mesh.
Explore solutions ↗02 / Products
Start with a product.
For recurring problems where Innopas already has a deployable answer — EUNIQ, TopSyllabus, and the lalla.ai platform beneath them.
Explore products ↗03 / Partner Platforms
Start with a partner.
For mature capabilities where buying and implementing is smarter than rebuilding: cybersecurity and GRC, and supply chain execution.
Explore partners ↗
What we offer
Three ways in, depending on what you already have.
If the problem is still an open question, start with a solution. If the answer is a system you can license, start with a product. If someone has already built it well, start with a partner platform.
Solutions
We work on your problem.
Applied AI programmes, scoped and gated. Each is anchored to research we own and a platform already in production.
Products
You license what we built.
Finished things with a name, an owner and a price. Two products, and the platform beneath them both.
Partner Platforms
We bring what we did not build.
Mature platforms in domains where rebuilding would serve nobody. We implement and support them; the products stay our partners'.
Start here
Talk to the engineers who would build it.
Thirty minutes. No deck. No discovery invoice. Just a straight read on feasibility, sequence and what a first build would take, even if the answer is not to build.