Privacy-preserving foundation models for secure, reliable intelligence.

01

Private by Architecture

Models run within your secure environment. Proprietary data stays inside your operational boundary.

02

Zero Token Capital

Stop paying per prompt. Run intelligence repeatedly on the compute you deploy without a remote token meter.

03

Foundational AI

Research-backed models engineered from the ground up, rather than wrappers assembled around an external API.

Three products. One small foundation.

Each product is designed to operate closer to the data, the organisation and the decision.

01

Proof-of-Voice SDK Suite

Liveness, Detect and Analytics: three SDKs delivered as one locally deployable family.

02

SAGE

COMING SOON

A voice experience designed around your organisation’s knowledge and boundaries.

03

Custom Model Training

Purpose-built intelligence shaped around your data, domain and deployment constraints.

LOCALLY DEPLOYABLE

One SDK suite. Three verification signals.

Understand the voice. Protect the moment. Deploy the complete family locally.

01A

Liveness SDK

Assess whether speech comes from a live human or from a replayed or synthetic source.

01B

Detect SDK

Estimate the risk that speech has been artificially generated or manipulated before decisions are made.

01C

Analytics SDK

Extract structured voice attributes such as age range, gender, language, dialect, and emotional state directly within your infrastructure.

Built from research, not around an API.

Research-backed. Scientist-led.

LatentCode develops foundational intelligence through research, experimentation and measurable evidence.

  • Dr. Ajinkya Kulkarni
  • SNSF researcher
  • BRIDGE grant
RESEARCH SUPPORT
Swiss National Science Foundation
INNOVATION PROGRAMME
BRIDGE
Scroll to descend