TieSet
How We Work With You

Build Representation Infrastructure for your use case.

We work with enterprise teams to scope and develop representation infrastructure — combining STADLE's distributed learning foundation with use-case-specific development.

From first conversation to production

01Architecture Review

We map your existing data sources, entity types, and AI use cases to a STADLE deployment architecture. You leave with a concrete blueprint — not a proposal for more consulting.

Duration

1–2 weeks

Output

→ Representation architecture blueprint

02Proof of Concept

We deploy STADLE against one entity type using held-out data — validating that the representation approach improves performance before any production commitment.

Duration

Typically 4–8 weeks

Output

→ Performance validation on held-out data

03Initial Production

We deploy on a single production use case, establishing the feedback loop between new signals and the representation layer.

Duration

Scoped per deployment

Output

→ Single use-case production deployment

04Scale

We extend the representation layer across additional entity types and data sources, generalizing what was learned in production.

Duration

Ongoing

Output

→ Scaled representation infrastructure

What enterprises achieve with STADLE

Customer Understanding

Replace periodic batch profiles with a continuously updating representation of each customer — ready for AI inference, not just human reporting.

Driver Intelligence

Maintain an adaptive representation of each driver across vehicles, environments, and time — fusing conversation, location, and behavioral signals.

Enterprise Personalization

Enable AI systems to adapt continuously as user behavior changes — without retraining from scratch or waiting for the next data refresh cycle.

Multi-Agent Intelligence

Provide a shared representation layer for AI agents — persistent, private user understanding that accumulates across sessions and systems.

Deployment models

Architecture Review

Complimentary

A focused engagement to map your entity types, data sources, and AI use cases to a representation infrastructure architecture.

Request Architecture Review →
MOST COMMON
Pilot

Scoped per engagement

4–8 week development of representation infrastructure for one entity type in your environment. Full technical support included.

Start a Pilot →
Enterprise

Contact us

Production representation infrastructure development, custom integration, SLA, and dedicated support.

Talk to Us →
Get Started

Start with an Architecture Review

No commitment. We map your use case to a representation infrastructure architecture in one to two weeks.