Ship outcomes, not pilots. Tenten AI takes enterprise AI from strategy to production, engineered, integrated, and running where the work happens.
Strategists, ML engineers, and platform operators sit in the same standup. No handoffs between vendors. POC to production in weeks, not quarters.
See the delivery modelThe patterns that move the needle in regulated, large-scale operations: engineered, integrated, and supported under one roof.
Domain-tuned assistants for triage, review, and decision support, embedded in the tools your team already uses with audit trails and human-in-the-loop guardrails.
Production-grade extraction and classification for loans, claims, KYC, and contracts, benchmarked against your own analysts before anything goes live.
Real-time visual inspection on assembly lines and field assets. Models trained on your defects, deployed at the edge, and monitored around the clock.
Demand, churn, risk, and capacity models tuned to your operating motion, explainable and integrated where decisions get made.
“We tried two big-four firms and three boutique vendors before Tenten. They are the only team that owned the model, the integration, and the on-call rotation, and shipped our first use case to production in six weeks.”
Six industries where we have put production AI to work. Different constraints, same delivery model: strategy, engineering, and deployment under one roof.
See industry playbooksLoan review, claims triage, KYC, and fraud systems with audit trails, model cards, and on-call rotations baked in from day one.
Triage copilots, intake summarization, and documentation assistants designed around clinical workflow with privacy and audit controls.
Edge-deployed defect detection and predictive maintenance, monitored from a single console without requiring an internal ML team.
Product enrichment, demand forecasting, and shopping assistants tuned to your brand voice across web, app, and contact center.
Routing optimization, document automation, and driver assistants that turn operational data into on-time delivery gains.
Diagnostic copilots, parts recommendation, and predictive maintenance integrated with OEM and dealer systems.
Loan review went from a four-day analyst cycle to under an hour, with full audit trails and policy citations on every decision. The risk team signed off in week six.
The triage copilot was live in seven weeks across three hospitals, in seven languages, with a clinician-in-loop workflow our compliance team helped design.
Edge vision QA cut defect escape rates by more than half across two plants. Tenten owned the model lifecycle and the on-call rotation; we owned the line.
What enterprise teams typically see after deploying their first Tenten AI use case into production.
See the outcomesBring a real workflow. Walk out with a candidate use case, rough effort estimate, and a 6-8 week delivery plan with our strategy and engineering leads in the room.
NPS 73 across enterprise engagements. Production AI delivered in weeks, supported for years.
Tenten was the only vendor who showed up to discovery with engineers, not only slideware. Six weeks later we had a working pilot in production.
Their MLOps practice is the real differentiator. Model cards, eval suites, and a real on-call rotation, not a notebook handed over at the end.
Edge vision QA running across two plants in seven weeks, plant-by-plant rollout, single console. We do not have an internal ML team; we do not need one.
Procurement was nervous about a smaller partner. Three quarters in, they had outshipped the big-four work we were running in parallel.
The clinician-in-loop design is not a checkbox. It is how the system was built, and why compliance approved triage in under 90 days.
I have worked with three boutique AI shops and two big-four practices. Tenten is the first team where the people who scope are the people who ship.
The latest from our team: market shifts, deployment patterns, and field notes from real AI projects.
AI business
Connectivity
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Brand strategyBring a real workflow. We bring strategy, ML engineering, and production operations under one delivery contract, with NPS 73 backing the work.