Convex
Enterprise

Complex software. Serious environments.

For organizations building or evolving systems where technical decisions have long-term consequences.

How we engage

Embedded with your team.

Convex works the way forward-deployed engineering (FDE) teams do: embedded directly with your people, working against your real systems, data and constraints from day one.

The same people who scope the problem are the ones who design and build the solution, so nothing gets lost in a handoff between discovery and delivery.

Capabilities

Everything between a hard problem and a system you can trust.

Product discovery

Understand the problem, the users and the constraints before committing to a direction.

Software architecture

Design system boundaries, data flows and integrations that hold up under real usage.

AI-native systems

Knowledge systems, workflows, decision support and agents built as real production software.

Distributed systems

Reliability, consistency and scalability for systems that can't afford to be wrong.

Application modernization

Move existing platforms forward without stopping the business that depends on them.

Technical leadership

Experienced engineering judgment embedded with your team from day one.

Product engineering

Experienced engineers and AI-native workflows that move from validated requirements to working software.

Reliability & observability

Systems that stay understandable and operable as usage and complexity grow.

Operate & train

After launch, Convex can run the platform and train your team on the tooling we built, for a full, clean transition.

Where we've worked

Trusted where software matters.

Convex brings experience from mission-critical and data-intensive software systems across these environments.

Financial servicesBorder control & public sectorAutomotiveManufacturingRetailE-commerceMarketplacesData-intensive systems
How we work

An experienced, hands-on partner throughout the lifecycle.

  1. 01

    Discover

    Understand the problem, users, economics, constraints and opportunity.

  2. 02

    Validate

    Challenge the critical assumptions before committing heavily to development.

  3. 03

    Architect

    Design product boundaries, data flows, integrations, reliability requirements and technical foundations.

  4. 04

    Build

    Use experienced engineers and AI-native development workflows to move quickly from validated requirements to working software.

  5. 05

    Scale

    Improve reliability, observability, maintainability and architecture as real-world usage grows.

Curious what this looks like in practice? See selected work.

Have a platform that needs to get this right?

Tell us about the system and the constraints. We'll tell you honestly whether we're the right fit.