Two ways to partner with TensorLab
Each model is designed for a different context. Pick the one that matches your situation.
Product Partnership
SelectedCo-build with outcome ownership and fast iteration.
- We join as a co-build partner from MVP to scale with shared quality ownership.
Outsource
Dedicated team, project-based delivery, or team augmentation.
- Engage via dedicated team, project-based delivery, or team augmentation.
Best for: Startups and scale-ups who want a technical co-founder, not just a vendor.
Our approach
- We join as a co-build partner from MVP to scale with shared quality ownership.
- We cover discovery, architecture, build & operations — not just task execution.
- Flexible engagement: milestone-based, co-build, or long-term — tailored to your context.
What's included
- Product discovery & problem framing sessions
- System architecture & technical roadmap
- Sprint-based build with daily async updates
- Post-launch: monitoring, ops runbooks, knowledge transfer
Typical use cases
How it starts
Clear and transparent delivery process
Ship the right things, ensure quality, and scale confidently.
- 01
Step 1
Discovery & problem framing
Align on goals, users, constraints, and success metrics. Confirm MVP scope or phased plan.
- 02
Step 2
Solution & architecture
Design solution, data flows, security, and cloud setup. Choose the right stack and trade-offs.
- 03
Step 3
Sprint-based delivery
Build in sprints with regular demos and impact measurement. Prioritize value-first.
- 04
Step 4
QA, release & observability
Test strategy, release pipeline, logging/monitoring, alerting — for stable production operations.
- 05
Step 5
Maintain & scale
Optimize performance, cost, and security; evolve with roadmap. Clean handover for your internal team.
Common questions
Things partners often ask before getting started.