Software development company
for the world of agentic AI

We quote a fixed price against a written scope, and the number comes out of discovery rather than off a rate card. Three things drive it: how many systems have to be integrated, how much compliance the domain carries, and how precisely the workflow has to be modeled. A focused internal tool and a multi-tenant SaaS platform are different orders of magnitude for exactly those reasons.

Discovery is a paid, standalone engagement and it is credited against the build if you proceed. You keep the architecture, the risk list, and the estimate either way, so you can take them to another firm if you would rather. Tell us what you are trying to build and we will put a number on it inside a week.

A usable MVP typically ships in six to ten weeks. A full production platform is usually twelve to twenty-four weeks depending on integration surface and compliance load. Legacy modernization runs longer because the old system has to keep serving customers throughout.

We publish the timeline at the end of discovery, broken into two-week increments with a working build at the end of each. That structure means slippage is visible in week three rather than week sixteen.

Yes — completely, from the first commit. Code is written in your repository or transferred to it, infrastructure is defined in Terraform under your cloud account, and documentation ships with the build.

There is no proprietary framework, no runtime license, and no clause that makes leaving expensive. If you decide to bring development in-house, we will help your engineers take it over.

Frequently. Embedded engagements put our engineers in your repo, your sprint cadence, and your standups — reporting to your engineering lead, not routing through an account manager.

This is the usual arrangement when an in-house team is strong but missing a specific depth: a database migration, a mobile launch, a security remediation, or a stretch of extra capacity before a hard date.

AI accelerates the parts of software development that are mechanical — scaffolding, test generation, migrations, documentation, and refactors. We use it heavily and it is a real speed advantage.

What it does not do is decide what ships. Every change passes human review, an automated test suite, and a security scan before merge. We also build AI into client products — agents, retrieval systems, and private LLM deployments — where the same discipline applies: if it cannot be evaluated, it does not go to production.

You choose. Some clients take full ownership at handover with a runbook, documentation, and a walkthrough session. Others keep us on a support SLA covering monitoring, patching, dependency upgrades, and a defined response time.

A third group keeps a smaller pod running continuous iteration, because the first release is rarely the last one. None of these is a prerequisite for the others.

Offshore rates are lower per hour and that advantage is real. It erodes when the work needs tight collaboration — ambiguous requirements, regulated domains, or a product where the business logic is the hard part rather than the code.

DEV.co is US-based with senior engineers on US business hours. We tend to be the right call when specification is the bottleneck, when the system has to pass a security review, or when a previous outsourced build has to be rescued.