Software, data and AI studio
Software that grows with you, built in layers.
Sepalstack designs and builds custom software, data platforms and AI agents for teams that need them to work in production, not just in a demo. Each layer ships on its own, so you see value in weeks.
Track record
- unstructured datasets made searchable by AI agents
- 25,000+
- application platforms delivered
- 35
- working with large, spatial and messy data
- 14 yrs
Figures describe projects our founder led before and during Sepalstack.
Services
Ten ways we help, one team doing all of it
From the interface people click to the data and cloud underneath, we build every layer, so nothing gets lost between vendors.
Custom software development
Software shaped around how your business actually runs, from internal tools to complete products.
Learn moreCustom web app development
Fast, accessible web applications in React and TypeScript, built to keep working long after launch day.
Learn moreAI consultation
A clear plan for where AI will pay off in your business, where it will not, and what it takes to run it safely.
Learn moreAI and agentic solutions
Assistants and multi-agent workflows that read your documents, query your data and take action, with a person in the loop.
Learn moreCloud solutions and management
Secure, cost-aware infrastructure on Google Cloud and AWS, defined in code and deployed automatically.
Learn moreAPIs and integrations
Connect the systems you already pay for, and open your own data to partners safely.
Learn moreData pipelines and ETL
Pipelines that move, clean and model your data on a schedule you can trust.
Learn moreUI and UX design
Interfaces people understand on first use, designed and tested before production code is written.
Learn moreCustom charting and dashboards
Dashboards built around the decisions your team makes, not the defaults of a BI tool.
Learn moreCustom map layering
Interactive maps that stack your own data on the world: assets, parcels, territories, coverage and risk.
Learn more- Talk it through
Not sure which you need?
Most projects touch several layers. Describe the problem and we will suggest the smallest thing worth building first.
Industries
Deep roots in data-heavy industries
We started in energy and geophysics, then built for banks, global brands, security vendors and carriers. The problems rhyme: too much data, too many systems, too little time.
How we work
Small releases, every week, until it is done
No six-month silence followed by a big reveal. You see working software early and steer as we go.
Discover
1–2 weeks
Workshops with the people who will use it. You get a written plan, a fixed scope and a price.
Build in layers
Weekly
A working release every week on a live staging link. You review, we adjust.
Launch
1 week
Production release with monitoring, documentation and a walkthrough for your team.
Support
Ongoing
Optional monthly support, cloud management and new layers as you grow.
Selected experience
We have done this at scale before
A few projects our founder led at previous firms, described without naming clients:
Banking
Document AI for a large US bank
Retrieval and multi-agent systems that read legal and financial documents for lending, risk, investigations and procurement teams, with audit trails and human review built in.
- AI agents
- RAG
- Governance
Consumer brands
Ask-your-data assistants for global brands
A chatbot that turns plain-English questions into SQL and answers with a chart, alongside semantic search over documents and AI video transcription.
- Text to SQL
- Search
- Google Cloud
Energy finance
Pricing and due-diligence platforms for energy assets
Seven products built from the ground up, including interactive maps of wells and leases, pricing models and secure, streaming APIs on AWS.
- Maps
- Fintech
- AWS
Cloud data platform
Predictive analytics before launch day
Pre-launch engineering on in-warehouse machine learning features that were announced to developers worldwide at a major conference in 2024.
- BigQuery ML
- Analytics
Tools
Proven tools, chosen for the job
We are not tied to one vendor. We pick what fits your team, your data and your budget, and we write down why.
AI
- Vertex AI
- Claude
- Gemini
- Agent Development Kit
- RAG
- Vector search
Data
- BigQuery
- PostgreSQL
- PostGIS
- Airflow
- Dataflow
- MongoDB
Cloud
- Google Cloud
- AWS
- Terraform
- Cloud Run
- Lambda
- Docker
Interface
- React
- TypeScript
- Next.js
- D3.js
- Mapbox
- ArcGIS
What does a typical project look like?
Most start with a one- to two-week discovery that ends in a written plan and a fixed price. We then build in weekly releases you can try on a staging link, launch, and hand over with documentation and a walkthrough.
How do you price work?
Discovery is a small fixed fee. After that, most builds are priced as a fixed fee per phase so you know the cost up front. Ongoing support and cloud management are billed monthly.
Who owns the code?
You do. Code lives in your repository and infrastructure runs in your cloud accounts from the start, so you can bring the work in-house at any time.
Is our data safe if we use AI?
We deploy models inside your own cloud project wherever possible, choose providers that do not train on your data, and log every request so answers can be audited.
Can you work alongside our own engineers?
Yes. We often build the first layers, then pair with your team so they can carry the product forward.
Where are you based?
Houston, Texas. We work with clients across the United States, remotely and on site when it helps.
Have a project in mind?
Tell us what you are trying to do. We reply within one business day, and the first call is free.