Smart Engineering Productivity Platform
An industry-agnostic productivity platform that starts from the documents your business already has, organises them into verified knowledge, and puts that knowledge to work in agentic workflows across your business units. Private by design. Proven in regulated engineering.
Three stages, in order. Each one is visible, reviewable and reversible, so your teams trust what comes out the other end.
Drop in a folder. PDFs, Word, Excel, PowerPoint, requirement files, spreadsheets, source code and scanned pages are all read, including OCR that runs on your own machine.
Rules first, AI second. Identifiers, tables, definitions and cross-references are captured deterministically and checked against the source character for character. The model only summarises what is left.
Skills are documented, reusable workflows that work from that knowledge. Run them by hand, on a schedule, when files change, or let the autonomous agent plan and execute a goal end to end.
Most AI tools paste your documents into a prompt and hope. This platform builds a knowledge layer you can audit: sections, requirements, glossary terms and resolved cross-references, each one traceable to the page it came from.
Humans stay in the loop at the points that matter: how a document is routed, which reading profile applies, and what vocabulary the graph uses. Agents read the curated knowledge. They never rewrite it.
No vendor cloud in the loop. The platform is installed inside your network, talks to the model server you choose, and can run with the network cable unplugged.
Install on a workstation, a department server or a GPU node. Native installers and Docker images are both supported.
Workstation · Server · DockerWorks with any OpenAI-compatible model server: LM Studio, vLLM, Ollama, llama.cpp and more. Local by default; hosted models are optional, never required.
No model weights shippedThe deployment image is smoke-tested with networking switched off before it ships. Ports bind to the local machine unless you decide otherwise.
Offline operation verifiedNothing is written until you approve the preview. Plans wait for a yes. Each run keeps an append-only audit trail of steps, gates and approvals.
Preview · Approve · AuditKnowledge graphs have snapshots and rollback. Skill changes go through a journal that can be recovered after an interruption.
Snapshots · Rollback · RecoveryThe platform sends nothing home. Open-source components are audited for licence terms so your legal team has no unknowns.
Licence audit includedA single application your teams open every day. Light and dark themes, works in a browser or as a desktop app.
Highly regulated industries have the most documents, the strictest evidence rules and the least tolerance for guesswork. That is exactly where a source-verified knowledge layer and approval-gated agents pay off first. The automotive bundle is in use with a Tier-1 supplier today.
Rates every requirement, design and test item, has a second AI assessor review the scores, and publishes an evidence pack with gap recommendations that cite the standard.
Static analysis plus per-file AI review of a whole repository or a single module, ending in a compliance verdict and human sign-off.
From a plain-language function description to system and software requirements, architecture, MISRA C code, test specification and executed tests, with a human check at each stage.
Point it at a commit range and see which requirements, components, tests and documents are affected and what must be re-verified. Deterministic, no model needed.
Push requirements and findings to Jira without duplicates after you approve the preview, pull statuses back, and schedule a project status report.
Reading profiles for AUTOSAR specifications and Automotive SPICE guidelines, and direct import of ReqIF requirement files with no AI guessing.
Build test families, interfaces and steps on a visual canvas, then run any skill against a node to generate specifications and scripts.
Start a new automotive project with the full folder structure, agent library, workflows and scripts in place.
The platform is not tied to a standard or a file type. Point it at your documents and it learns how to read them. Point a skill at the result and a business process runs. Here is how that maps across sectors.
Supplier and OEM software organisations under ASPICE, MISRA and ISO 26262.
Programmes that must prove traceability from requirement to verification.
Design history and software lifecycle documentation that auditors will read line by line.
Safety-related systems with long document lifecycles and many revisions.
Policy, contract and procedure libraries where exact wording matters.
Any department with a shared drive full of knowledge nobody can find.
You license a pool of capacity units, not a list of tools. Each workflow takes a defined number of units only while it runs, then returns them to the pool for the next team, project or user.
A demo takes about 45 minutes. Bring a handful of real documents and we will show you what the knowledge layer finds in them and which workflows apply to your business.
