Core Engineering
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Engineering overview Book a Discovery CallForward Deployed Engineering
Forward deployed engineers work alongside the people who own a business problem to scope, build, integrate and deploy production software — including AI-powered workflows — in your own environment.
Outcome: Working software in your environment, owned by your team when we step back.
Core Engineering
Many AI and software initiatives stall between a promising demo and a system people use every day. The gap is rarely the model or the framework. It is understanding the real workflow, the data, the integrations, the security rules and the people who will run the system.
Forward deployed engineering closes that gap by putting engineers next to the problem. They work with your operators and domain experts, prototype quickly, and harden what works into production software deployed in your cloud or data center.
Not every engagement needs every capability on this page. We scope each one around the problem you need solved and the team that will own the result.
Problems we solve
Proofs of concept that impressed in a demo but lack the integrations, evaluation and controls needed for daily use.
Workflows, exceptions and data quirks that are hard to capture in a specification written from a distance.
A process split across ERP, CRM, ticketing and document systems that has to be connected safely.
Internal teams stretched across existing platforms, with nobody free to own a new initiative end to end.
Capabilities
We scope each engagement to the problem — not every project needs every capability.
Discovery & prototyping
Short cycles with the people who do the work, so the solution fits how your business actually operates.
AI application engineering
LLM features, retrieval and agents engineered with evaluation and controls from the start.
Integration & deployment
Software that runs where your data lives and follows your security model.
Ownership & support
Documentation, knowledge transfer and support options so the system keeps improving after launch.
Use cases
Typical scenarios, to show the kind of work involved.
An assistant that drafts responses and next steps for an operations team, grounded in procedures and ticket history.
Extracting, checking and routing information from contracts, invoices or forms into downstream systems, with review queues for exceptions.
Applications that replace spreadsheets and email chains for one specific business process.
Adding the integrations, evaluation, access control and monitoring an existing prototype needs before real users rely on it.
How we deliver
Meet the users, map the workflow, review data and systems, and agree what success looks like.
Build the smallest version that tests the riskiest assumption, using real examples.
Engineer the production version and connect it to the systems it depends on.
Test quality, security, performance and failure handling against the agreed criteria.
Release into your environment with monitoring, alerting and a rollback plan.
Transfer knowledge to your team and keep improving the system from production evidence.
Technology
Chosen to fit your environment and team, not a preferred vendor.
Built for production
Solutions use your identity provider and respect users' existing permissions; secrets and data stay in your environment.
We agree up front which data may reach which model providers, and use private endpoints or self-hosted models where data must stay in your control.
Timeouts, fallbacks and human review for low-confidence results, with quality and cost monitored in production.
Code, infrastructure and documentation live in your repositories and cloud accounts, so your team can run the system without us.
United States & Canada
Our engineers work alongside organizations in the United States and Canada — in your business hours, inside your tools and your security model — from a US headquarters in Troy, Michigan.
Engagement options
We'll recommend a model after the first conversation.
A defined scope and budget for a clear deliverable — ideal for builds, migrations and assessments.
Flexible capacity, invoiced monthly, for work where the scope will evolve as you learn.
A full-time pod embedded with your team for long-running products and platforms.
Fees tied to the KPIs we agree up front, where the result can be measured cleanly.
It is an engineering model in which developers work directly with a customer's users and teams, close to the problem, to build and deploy software in the customer's environment — rather than handing over a generic product or a specification.
Staff augmentation adds capacity to work your team has already defined. A forward deployed team owns a problem end to end — discovery, design, build, deployment and handover — while working closely with your people throughout.
No. Many engagements are integration or internal-tool projects. We use AI where it improves the workflow and its quality can be measured.
We agree the working model at the start — remote, on-site sessions for discovery and launch, or a mix — based on your needs, your location and your security requirements.
Ownership is set out in the contract. Our standard approach is to build in your repositories and cloud accounts from day one, so the code and infrastructure are yours.
Yes. We work with organizations across the United States and Canada. Our headquarters is in Troy, Michigan, delivery runs in North American business hours, and our Hyderabad team extends engineering capacity. The working model — remote, on-site sessions or a mix — is agreed at the start.
Resources
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Tell us about the workflow, the systems involved and what success looks like. We'll suggest how a forward deployed team could approach it.
