Any stack you already run. Any AI you actually need.
Java, .NET, Node.js, Python, or PHP on the backend. Any SQL or NoSQL database. Any major cloud. Every serious AI provider. Try assembling one below — it's the same combination our engineers would actually scope.
Six disciplines, one accountable team
Every engagement draws from the same six disciplines — so a project that starts as "just an API integration" can pull in data engineering or AI capability later without bringing in a new vendor.
AI & Machine Learning Systems
From LLM copilots to classical ML, shipped to production.
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Model selection, fine-tuning, RAG pipelines, and agentic workflows, built with evaluation harnesses and monitoring from the first sprint, not bolted on after a demo.
Custom Software Development
Java, .NET, Node.js, Python, and PHP, whichever fits your stack.
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Backend services, internal tools, and full product builds. We match the language and framework to your existing team and infrastructure rather than forcing a rewrite.
Cloud & DevOps Engineering
AWS, Azure, and Google Cloud, provisioned as code.
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Terraform-managed infrastructure, containerized deployments with Docker and Kubernetes, and CI/CD pipelines built so a deploy is routine, not an event.
Data Engineering & Analytics
Any database, relational or NoSQL, built to actually scale.
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Schema design and pipeline work across PostgreSQL, MySQL, SQL Server, MongoDB, Redis, and DynamoDB, plus the ETL/ELT layer that keeps them in sync.
Enterprise Integration & APIs
Connecting new systems to the ones you already run.
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REST/GraphQL APIs, message queues, and integrations with CRMs, ERPs, and legacy systems, so new capability does not mean ripping out what already works.
Managed Support & Modernization
Keeping what you have running while we improve it.
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Legacy application support, incremental modernization, and on-call coverage for systems that cannot afford downtime while improvements are underway.
Assemble your stack
Pick a language, a database, a cloud platform, and an AI capability — watch the architecture and the brief build themselves.
Choose your backend language
Choose your database
Choose your cloud platform
Choose your ai capability
New systems, wired into the ones you already run
Point at any node to see what that integration typically looks like.
Sync leads, accounts, and activity both ways with Salesforce, HubSpot, or Zoho — no manual CSV exports.
Estimate your engagement
Move both sliders to roughly match your project — the recommendation updates as you go.
Fixed-Scope Build
A defined system, a defined price, a defined delivery date.
Typical timeline: 4–8 weeksBefore you reach out
Do you work with legacy Java or .NET applications, or only new builds?
Both. A large share of our work adds new capability, including AI, to systems that already run in production, not just greenfield projects.
Can you support a database or cloud provider not listed on this page?
Usually, yes. The stack options above cover what comes up most often; tell us what you run and we'll confirm fit before anything is signed.
What if we don't know which engagement model fits yet?
That's normal. Most engagements start with a short paid discovery phase that ends in a concrete recommendation and quote, not a guess.
Do you sign NDAs and data processing agreements before scoping work?
Yes — standard practice before any technical discovery that touches real data or system access.
Not sure which service fits?
Tell us what you're trying to ship — we'll tell you which discipline actually solves it.
Get a quote