About — § 00 / Who we are

The lab built on language intelligence.

GAI Labs studies how meaning survives the machine. The research done here becomes the GAI Suite: GAI Translate, GAI Verify, GAI Certify, GAI SLM and GAI Anonymise.

Learn about GAI Suite
§ 01Mandate

We study how meaning survives translation across machines, humans, and regulators who will be reading the output under oath.

Most translation AI is optimised for fluency on consumer text. We are optimised for defensibility on contracts, clinical documents, and regulatory filings — where a plausible-sounding mistranslation is worse than no translation at all.

We do
Ambiguity detection · Evidence modelling · Human-in-loop verification · Regulated-domain evaluation
We don't
Generic chat LLMs · Consumer translation · Benchmark chasing · Novelty without evidence
§ 02What we commit

We invest 23% of revenue into resolving scientific and technological uncertainties.

Where the R&D budget goes

Verification and evidence modelling
34%
Domain-specific small language models
26%
Privacy-preserving data engineering
22%
Conversational AI and digital humans
18%

Backing and partners

  1. Innovate UK Scale-Up Programme

  2. Official partner of Sheffield Hallam University

  3. Official partner of Gammon Construction

  4. In-house technology team with AI developers

  5. Proprietary multilingual datasets in regulated domains

§ 03How we innovate

We research, trial and test ideas that will advance AI in language.

Our team researches large language models, data science and multilingual data-labelling, so that your training data is good enough to trust.

01

Academic and scientific research

Joint work with universities, global institutions and pioneers in industry and the arts, published under the same evidence standard we apply internally.

Sheffield HallamPeer reviewOpen method
02

AI testing and proof of concepts

Commissioned evaluations and regulated-industry pilots. You bring the obligation and the failure you cannot afford; we build the harness that measures it.

Eval harnessPilotRed team
03

Knowledge transfer partnerships

Longer-form programmes that embed a researcher against a live industrial problem, backed by the Innovate UK Scale-Up Programme.

KTPInnovate UKMulti-year
§ 04Our beliefs

Four commitments the Lab makes.

P / 01

Evidence before narrative.

Every claim we publish is tied to a test set, a method, and a reproduction path. If we cannot run it again, we do not publish it.

P / 02

Humans in the loop, on record.

Every output that leaves the Lab has a named human reviewer. No anonymous automation on regulated text.

P / 03

Domain over scale.

We prefer a 2B-parameter model trained on legal bilingual corpora over a 400B generalist. Specialisation survives regulatory review.

P / 04

Open method, closed customer data.

We publish methods, evaluation harnesses, and specimen analyses. We never publish customer content. Contracts bind the Lab.

§ 05Collaborate

Work with us.

Connect with our research team today.

[email protected]