A software house built around delivery
We work with B2B teams who have already found their market and now need the engineering to keep up with it — as a delivery partner, or as engineers inside their own team.
Who we are
Revosit is a B2B engineering practice. Our work sits in three places that tend to collide in a growing company: the product your customers use, the Salesforce org your revenue team runs on, and the AI features everyone now expects you to ship.
Keeping those under one team is the point. When the product needs to write back into Salesforce, or an assistant needs retrieval over data that lives in three systems, there is no vendor boundary to argue across — the same delivery lead owns both sides of the integration.
We take work two ways. Either we own an outcome end to end, or we embed engineers into your team and your process. Clients move between the two as their roadmap changes, and we would rather adjust the contract than pretend one shape fits every phase.
How we operate
These are the commitments we are willing to be held to in writing, because they are the ones clients notice when they are broken.
Estimates are commitments, not marketing
We would rather lose a deal at the proposal stage than win it on a number we know is wrong. If scope moves, we say so the week it moves.
The team that scopes it builds it
No bait-and-switch between the engineer who wrote the proposal and the one who writes the code. The delivery lead is in the first call.
Boring technology, deliberately
We pick the dull, well-documented option unless the problem genuinely needs something sharper — and we write down why when it does.
You own everything we touch
Code in your repos, infrastructure in your accounts, decisions in docs you keep. Our exit should be a non-event.
What we actually work in
Not an exhaustive logo wall — the tools our engineers have shipped and operated production systems with.
Product engineering
- TypeScript
- React
- Next.js
- Node.js
- Python
- Go
- REST & GraphQL
Salesforce
- Apex
- Lightning Web Components
- Flow
- Sales Cloud
- Service Cloud
- Salesforce DX
- MuleSoft
AI & data
- Claude
- LangGraph
- pgvector
- RAG pipelines
- Evaluation harnesses
- dbt
- Snowflake
Platform
- AWS
- Azure
- Terraform
- Kubernetes
- GitHub Actions
- PostgreSQL
- OpenTelemetry
Let's talk about the work
A 30-minute call is usually enough to tell whether there is a fit. If there isn't, we will say so and point you somewhere better.