For Founders and product owners building a product
Platform & SaaS development
We build complete products: multi-tenant architecture, authentication, billing, the operator console and the data layer underneath. This is the service line where our accelerators do the most direct work, because the hard foundations are already built and running.
Full product delivery, from first architecture to a system running under load.
4 common questions, answered below ↓Multi-tenant platforms, billing, authentication, operator consoles, and the data layer underneath. This is the line where our accelerators do the most direct work: they compress the timeline because the hard parts are already built and running.
- Multi-tenant architecture with isolation enforced in the data layer
- Operator consoles and admin surfaces alongside the customer-facing app
- Auditable state changes where every mutation explains itself
- Accelerators cut months off the foundation
What we bring with us
Systems we have already built for this work.
How an engagement works
01
Talk to an engineer
A real conversation about your initiative with a senior engineer who has built this before. Not a sales call. What you are trying to build, what has been tried, and what is realistic.
02
Discovery and scoping
Two to three weeks to clarify requirements, evaluate where AI fits, and define realistic scope. On AI work this is also where success gets defined precisely enough to score, because a goal nobody can measure cannot be hillclimbed. You get a plan you can act on before committing to a larger engagement.
03
The right team, daily demos
We put the team the work actually needs on it and show you running software every day. Built with the same rigor as any enterprise system: tested, monitored, documented.
04
Production and beyond
Deployed and running under real load, handling real business processes. Ongoing support and team continuity for whatever comes next.
Databricks implementation
Lakehouse to live application. Migration, governance, and native Databricks apps.
AI systems
Context stores, memory, retrieval and governed agents that survive production.
Forward-deployed teams
Product, design and engineering people who sit inside your business, find the real problem, and ship it.
APIs & durable systems
Long-running operations that survive restarts, retries, and partial failure.
FAQ
Platform & SaaS development, answered
What is included beyond the customer-facing application?
The parts that decide whether a product is operable: an admin and operator console, tenant isolation enforced in the data layer, an audit trail of state changes, and the deployment path that gets releases out repeatedly.
How do the accelerators shorten a platform build?
Fabric Platform gives you a governed mutation pipeline, so every state change is policy-gated and auditable from day one instead of being retrofitted. Harness gives you a durable agent runtime. Those are months of foundation you do not have to write.
Do we own the code?
Yes. Everything we build for you is yours. Where an accelerator is involved we are explicit about which parts are ours and what it means for you to keep running them.
Can you take over an existing product?
Yes, and we build new ones from scratch just as often. Greenfield and brownfield are both normal work here: a product that does not exist yet, or a system that does and needs extending, replatforming or rescuing. Discovery assesses what is already there before anyone proposes replacing it, so whether you extend or start fresh is decided on the evidence in front of us.