Every solution in the portfolio starts from a buyer's problem, declares its level of AI and carries its honest delivery state — Live, Proven or In development. Built with AI, validated by engineers, delivered verified.
The problem. Your customers buy against a standard, but the answers live in PDFs, spreadsheets and a few senior engineers — so specification happens in other people's tools, and the leads it creates never reach your sales team.
What we deliver. White-label platforms that turn your catalogue and the governing standards into a spec-to-quote sales channel: digital catalogue, guided selection and verified compliance answers, ending in a lead & quote back-office — on your subdomain, under your brand, with unlimited users.
Why this AI level. AI accelerates the authoring of catalogue structure and regulatory content; engineers validate every rule; the platform your customers touch runs deterministic, auditable code only.
Live today: SafeRef, our refrigerant gas-detection compliance platform — see the application →
The problem. Regulatory sizing lives in PDFs and spreadsheets; every answer is slow and unauditable.
What we deliver. Deterministic calculation engines built from the standard itself, golden-tested against its own worked examples — EN 378, ASHRAE 15, ISO 817, with further norm packs added on demand.
Why this AI level. A regulatory calculation has no right to be probabilistic — AI helps author and verify; the runtime is pure deterministic code.
Every engine ships versioned and clause-traceable, calibrated against the standard's own worked examples.
The problem. Pre-design is where deals are won — but sizing a technical solution, justifying it and explaining it to a non-specialist buyer consumes senior engineering time that never scales.
What we deliver. Guided pre-design studios that size, justify and explain a technical solution — white-labelled for manufacturers. The configurator judges design choices live, explains every recommendation, and hands over a defensible pre-design under your brand.
Why this AI level. AI helps build the design logic and the explanations; engineers validate the rules; at runtime the studio computes deterministically and shows its reasoning.
Proven on a full-scale pre-design studio for data-center cooling — multi-site, climate-aware, every recommendation explained.
The problem. Competitive and product data goes stale the day it is compiled — catalogues change, ranges evolve, and manual monitoring never keeps up.
What we deliver. Structured competitive and product intelligence, kept current by supervised agents — brands, product lines and specifications mapped into a searchable, structured base, every record traced to its source.
Why this AI level. Monitoring and extraction are exactly what supervised agents do well — and every fact is source-traced, with human review gating what enters the record.
Proven in production on a complete market map — from first source to a working intelligence base.
The problem. Technical marketing is expensive precisely because it must be correct — every video, handbook or guide needs an engineer in the loop, so most of it never gets made.
What we deliver. Technical explainer videos, calculation handbooks and digital documentation, generated from verified engines — the numbers on screen come from the same deterministic code that powers our platforms.
Why this AI level. Generation is agent-driven but grounded: content derives from verified engines, then engineers review it before it ships.
This family is in development — no public releases yet.
The problem. Some engineering problems fit none of the families above — but they still deserve better than a generic development shop that has never read a standard.
What we deliver. Your engineering problem, scoped and built with the same method — the portfolio's front door for anything not on a card. We scope the problem, choose the right level of AI, and deliver verified, auditable software.
Why this AI level. The whole spectrum — the point of this family is choosing: deterministic where correctness is non-negotiable, hybrid where expertise must scale, supervised agents where autonomy pays.
This is how every family in the portfolio started — as one engineering problem, scoped and built.
Bring an engineering problem; we scope the right level of AI and build it with the same verified method.