NewCombined client valuation now $14B+Our clients are now valued at over $14B combined

Built for the businesses Silicon Valley forgot.

We help businesses identify the AI opportunities that actually transform how they work.

We help companies identify AI opportunities that will actually transform their business, then we build it, deploy it, and train your team to use it.

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Companies we've worked with

How we work

From opportunity to production system. A delivery process built for real operations: identify what actually moves the business, ship a measured pilot, then harden it into something your team can run.

Identify the opportunity

We map your operation, data, and constraints, then pinpoint the AI use cases with the clearest path to measurable impact.

Pilot + instrumentation

We ship quickly with evaluation hooks, human review controls, and operational logging from day one.

Production hardening

We implement permissions, fallback paths, and integration points so the system holds up in real operations.

Iteration + team enablement

We continuously improve quality and cost using real production data, then train your team to own and run the system.

Recently completed projects

Recent production systems showing how teams apply AI for quality, coaching, and training workflows.

View all projects

Call center operations floor with a stylized lion emblem overlay

Call Center AI Auditing

Automated QA scoring and policy checks across every call with manager-ready escalation reasons.

AI Sales Call Coaching

Post-call stage scoring and coaching notes delivered in minutes so reps can adjust while deals are still active.

Executive office overlooking a city skyline with a stylized horse emblem overlay

Live AI Roleplay For Training

Scenario-based rep simulations that score responses in real time and surface targeted coaching moments.

Featured AI system builds

Interactive previews of recent AI systems we've shipped — from QA and coaching workflows to custom roleplay training. Each one is built around a real operational problem.

AI Call Auditing for QA

Manual call reviews miss coaching opportunities and compliance risks when QA teams can only sample a small share of calls.

Read the full call auditing case study

System flow

01Ingest transcripts
02Analyze conversation
03Score against QA rubric
04Route findings to manager

Stack highlights

Transcript ingestionRubric scoringPolicy checksFlagged momentsSupervisor dashboard

Representative outcomes

Calls auto-reviewed

92%

QA turnaround

3.4x faster

Critical misses

-41%

Representative pilot outcomes; results vary by team/process.

QA rubric explorer

Selected category

Greeting and empathy

Score91/100

Flagged call reasons

Strong opening language and clear intent set within the first 20 seconds.
Rep acknowledged customer frustration before moving into troubleshooting.

Resources

Learn how we hire, how we work, and the standards we hold while building production AI systems for ambitious teams.

Team training interface used to represent careers at Tenre

Careers @ Tenre

Open roles across engineering, AI product, client delivery, and growth for people who ship high-impact systems.

Performance coaching dashboard used to represent culture at Tenre

Culture @ Tenre

How we operate: fast iteration, and production-first execution with uncompromising quality standards.

Ready to pressure-test your next AI workflow?

We can help you define and ship a practical pilot with measurable outcomes and clear ownership.

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