FDE · Asia's AI-native product studio
Forward-deployed
intelligence engineering
Tenten AI embeds engineers inside your operations and ships MVPs for startups and enterprises through rapid iteration — live in weeks, not quarters.
- NPS 73
- Deployed in 13 languages
- SOC 2 Type II / GDPR aligned
We build on these platforms and tools
How we deliver
One team,
from strategy to production
01 · STRATEGY
Use cases get scored, ranked, and actually shipped
Strategy advisors, ML engineers and platform ops work to the same cadence — no handoffs between vendors. From PoC to production in weeks, not quarters.
Use case promoted
Loan-review assistant now running in production
Week 6
Pilot launched
Defect QA live on lines at 2 plants
Week 3
Model evaluated
Triage copilot passed clinical acceptance testing
Week 4
Regional rollout
3 new local languages across Europe and APAC
Week 8
- Use-case scoring and prioritization
- Effort estimates and ROI definition
- 6–8 week delivery roadmap
02 · ENGINEERING
Every system ships with a traceable model card
We don't hand you a notebook at the finish line. Model cards, eval suites and on-call rotations all come with delivery — quality you can manage by the numbers.
system:loan-review-assist-v3
Document intelligence / Financial services
-96%
Cycle time
98.4%
Recall
Stable
Drift status
- Traceable model cards
- Eval suites and benchmarks
- Drift monitoring
03 · SCOPE
Every workflow ships with a live delivery brief
Inputs, guardrails and goals are written down in week one. Stakeholders can see scope and progress anytime — no waiting on quarterly reports.
Healthcare / Triage
3 hospitals · HIPAA · 7 languages
- Inputs: chart summaries, intake forms, voice memos
- Guardrails: physician in the loop, full audit trail
- Goal: triage time from 18 minutes to 4
- Clear inputs and guardrails
- Human-in-the-loop by design
- Measurable goals
04 · DEPLOYMENT
PoC, pilot, production — then scale
Each phase has clear acceptance criteria and timelines. Production by weeks 6–8; regional and language expansion from week 9.
Weeks 1–2
PoC
Pick the use case and scope the data
Weeks 3–5
Pilot
Build, evaluate, integrate and validate
Weeks 6–8
Production
Promote, monitor, stand up on-call
Week 9+
Scale
Expand to new regions and languages
- Phased acceptance criteria
- Monitoring and on-call
- Regional and language expansion
Measurable impact in weeks,
not quarters.
An agile FDE delivery model where every use case is scored, ranked, and taken all the way to production.
6 weeks
Average time to MVP
10+ years
Shipping digital products
100+
Projects across industries
"Before Tenten, we tried two big consultancies and three boutique shops. They were the only ones who owned the model, the integration and on-call — and put our first use case into production in six weeks."
CAPABILITIES
Four production-ready AI capabilities,
delivered by one team
01
AI Copilot rollout
An assistant people actually use at work — wired into internal knowledge and tools, with answers that are traceable and auditable.
02
Agentic workflows
Cut cross-functional review cycles from days to minutes, with a live delivery brief on every workflow.
03
RAG knowledge systems
Traceable retrieval across enterprise documents and data — answers always cite their source, so teams can trust them.
04
Prediction & decision models
Forecasts ops teams will actually trust — from demand planning to quality inspection, on the line in weeks.
What success looks like
See success stories
Outcomes
Measurable impact, fast.
Here's what enterprise teams typically see once their first Tenten AI use case is running in production.
Time to first AI use case in production (weeks)
Traditional consulting
32 wks
Build it in-house
24 wks
Tenten AI delivery
6 wks
40%
Average cost reduction on target processes
10x
Faster decisions with AI-assisted analysis
24/7
Human-in-the-loop automated operations
<6w
From kickoff to first production use case
90-minute workshop
One session, from zero to a shippable use case
Bring a real process. We'll find candidate use cases, ballpark the effort, and map a 6–8 week delivery roadmap — with strategy and engineering leads both in the room.
What CIOs and ops teams say
Enterprise engagement NPS of 73. AI in production within weeks — and supported for the long haul.
「Tenten was the only vendor who brought engineers to the discovery session, not just a deck. Six weeks later, our pilot was running in production.」
Group CIO
Tier-one European bank
「Their MLOps is the real difference. Model cards, eval suites, on-call rotations — all complete, not a notebook dropped on you at the end.」
Head of Data Platform
Global insurer
「Edge visual QA was live across two plants in seven weeks — rolled out plant by plant, one control console. We have no in-house ML team, and didn't need to build one first.」
VP of Operations
Tier-one automotive supplier
「Procurement worried at first that they weren't a big consultancy. Three quarters in, they were shipping faster than the major consultancy we ran in parallel.」
Chief Transformation Officer
European retailer
「Clinician oversight wasn't a checkbox — it was the core of the system design, and the reason compliance could approve triage in 90 days.」
Chief Medical Information Officer
Hospital network
「I've worked with three AI boutiques and two big consultancies. Tenten was the first team where the same people scoped the work and delivered it themselves.」
Director of AI Strategy
Logistics group
Industry insights
The latest on enterprise AI.
A new era of
AI-native products
Ship your first AI use case in weeks, not quarters.