AI for decisions that need evidence.

NeuralHue builds AI systems over complex organisational data. Sources stay attached. Gaps stay visible. And the system can show exactly what an answer rests on.

01 / Our work


FirmMemory

A private answer layer over a law firm's own work. FirmMemory finds relevant matters, connects evidence across the archive and builds sourced answers from what the firm has actually done. When the precedent is thin or absent, it says so.

See FirmMemory live

Engagement

Semantic talent intelligence

We designed and delivered a semantic talent-intelligence platform that can reason across experience, skills, industries, career histories and professional narratives to surface the right expertise for complex searches.

See the project

02 / Point of view

Applied AI, built for real work.

Applied AI has to survive real permissions, incomplete data and the moment someone asks where an answer came from. We build applications, agents and retrieval systems around specific operational problems, designing for unsupported claims, thin evidence and questions the data cannot answer.

03 / How we build

Evidence is part of the architecture.

Sources stay attached.

Provenance is captured when information enters the system and carried through every stage of retrieval and synthesis.

Gaps stay visible.

The system distinguishes between strong evidence, weak evidence and questions the available data cannot answer.

Access follows the source.

Retrieval preserves the permissions and boundaries already governing the underlying documents, systems and data.

The data stays where it belongs.

Infrastructure can run inside the client environment so sensitive information does not need to leave its perimeter.

We build to hand over.

Source code, documentation and operational knowledge are delivered so clients can run and extend what we build.

04 / Selected engagements


Some problems are worth building around.

Alongside FirmMemory, NeuralHue takes on selected applied AI engagements where complex information, reliable evidence and trust are central to the problem.

  • Search
  • Retrieval
  • Synthesis
  • Decision support
  • Purpose-built workflows