Product & Solution Engineering

Experienced engineers. AI leverage. Software that lasts.

Experienced engineers. AI leverage. Software that lasts.

Minimum experience

Average tenure

Productivity gain

Mobilization

We design, build, and modernize software for startups through large enterprises. Every engineer is senior, and every team runs on an AI harness that removes the mechanical work. You get judgment that can’t be hired quickly, at a pace that usually takes twice the headcount.

Start with two engineers or a full programme. The same bench, sized to the problem.

Why teams choose us

How we staff

01

Senior only

12+ years minimum, 15-year average. No junior rotation.

Where we work

02

Live production

Systems that can’t go down while they change.

How we deliver

03

AI-enabled

~35% productivity gain, under human judgment.

Who we work with

Seed stage to global enterprise, sized to the problem.

The engineering standard never changes. The team size, the commitment, and the first step all do.

Startups & seed stage

Two senior engineers beat five junior ones

You need a real platform, not a prototype you rebuild at Series A. We start at two engineers on a fixed-fee scope, enough to get architecture, infrastructure, and a shippable v1 right, without hiring a team you can’t yet afford.

From 2 engineers

Fixed-fee scopes

Month-to-month

No long lock-in

Start here: a 2-week architecture & build plan.

Scale-ups & Series A–C

Add depth without adding headcount risk

Traction exposed everything the early build deferred. We embed senior engineers into your team to stabilize delivery and pay down the architecture debt that’s slowing you, and scale the pod up or down as the roadmap moves.

Embedded pods

Flexible scaling

Your tools & process

Productive week one

Start here: a performance & scalability diagnostic.

Enterprise

Change systems that can’t be switched off

Complex platforms, real compliance obligations, zero downtime tolerance. We modernize in live production and get more from the enterprise systems you already run, with the governance, evidence, and testing an enterprise change process demands.

Dedicated teams

MSA & SLA-backed

Audit-ready evidence

Platform depth

Start here: a modernization or value assessment.

Worried senior-only means expensive? It usually means the opposite. Because AI absorbs the mechanical work, a small senior pod ships what a larger mixed team would — for fewer total hours, and without leaving you architecture to rebuild later.

Get a scoped estimate

How we work

AI made code cheap. It made judgment expensive.

Anyone can generate code now. What’s scarce is deciding what to build, how to shape it, and whether it will still hold up in three years. So we don’t staff juniors and hand them tools. We staff engineers with 12+ years and give them a governed agent harness. The engineer keeps the decisions. The harness absorbs the volume.

The AI harness handles

Codebase analysis and dependency mapping

Scaffolding, boilerplate, and repetitive refactors

Test generation and regression suites

Technical and integration documentation

Data mapping drafts for migrations

Evidence capture across the delivery pipeline

Senior engineers own

Architecture, domain boundaries, and API contracts

Product and technical trade-offs, and what not to build

Every design decision and every cutover call

Security posture, compliance, and risk

Code review and what actually reaches production

Accountability for the outcome, by name

Build

New products & platforms

Product strategy, experience design, architecture, and delivery — from a founder’s first production platform to an enterprise system, with the same people either way.

MVP to v1

Architecture

UX

Delivery

Modernize

Systems you can’t turn off

Incremental migration in live production. We change systems while they’re running, without asking the business to pause for a release.

Re-platforming

Tech debt

Performance

Zero downtime

Operate

Cloud, data & AI

Cloud platform and DevSecOps foundations, data pipelines, RAG, and production AI features with the controls to run them safely.

AWS / Azure

Kubernetes

Pipelines

RAG

React, TypeScript, Java, Python, Kotlin, Go. Cloud-native on AWS and Azure, with Kubernetes, Terraform, PostgreSQL, and Kafka. Our engineers deliver across the stack because that’s what production actually requires.

See the practice

Where our depth lives

Deep expertise where complexity lives.

We’re strongest where the systems are hardest and the tolerance for failure is lowest.

Financial services technology

Investment management systems, trade lifecycle, portfolio and advisor platforms, and compliance engines. We work inside production environments where downtime is not an option.

Platform modernization

Incremental migration of legacy systems to modern stacks. Modern front-ends, cloud-native infrastructure, in production, without disrupting users.

Enterprise applications & ERP

Deep experience across major enterprise suites covering HR, finance, supply chain, and customer systems, built by people who helped create them.

Enterprise SaaS

Scaling engineering for B2B platforms, from early architecture through enterprise-grade reliability, CI/CD, and observability.

Data & AI

Reliable pipelines, real-time processing, retrieval and context engineering, and production AI features with the governance to run them safely.

Full-stack engineering

React, TypeScript, Java, Python, Kotlin, Go. Cloud-native on AWS and Azure. Our engineers deliver across the stack because that’s what production requires.

Proven in production, not in pitch decks

We earn trust through the complexity of the systems we operate inside.

Our engineers work inside investment management platforms used by major financial institutions — migrating live user interfaces incrementally, under active trading workflows, without disrupting the people who depend on them every day. That’s not a greenfield project. It’s the hardest version of the job, and it’s the standard we bring everywhere else.

Our engineers work inside investment management platforms used by major financial institutions. Migrating live user interfaces incrementally, under active trading workflows, without disrupting the people who depend on them every day. That’s not a greenfield project. It’s the hardest version of the job, and it’s the standard we bring everywhere else.

0–0%

Faster release cycles

0–0%

Reduction in manual operations

0–0%

Lower infrastructure cost

0–0×

Innovation velocity

Typical ranges across recent engagements. We’ll baseline your numbers before we claim anything about them. Full knowledge transfer is built into every engagement — you should be able to run what we build without us.

Problems we solve

Sound familiar?

These are the moments teams call us.

“We need to ship faster but can’t hire fast enough.”

Your roadmap is full. Hiring takes months. We plug in senior engineers who start delivering in days, because they’ve built systems like yours before.

“We’re pre-Series A and can’t afford to get v1 wrong.”

First architecture decisions compound, and a rebuild at Series A costs you a year. We bring engineers who’ve launched products before and know which shortcuts to take and which to avoid — starting at two people.

“Our platform needs to modernize but we can’t stop delivering.”

Tech debt is slowing you down, but a rewrite isn’t an option. We modernize incrementally in production — systems stay live while they change.

“We can’t afford a full team, but we can’t afford a cheap one either.”

The false economy of a large junior team is a codebase you rewrite. A small senior pod with AI leverage ships the same scope for fewer total hours, and leaves you something worth scaling.

“We bought a platform and use a fraction of it.”

Licensed capability sitting switched off, and processes fighting the product. We know these systems from the inside, so we can tell you what’s actually possible and what it will take.

“We need senior guidance, not just more hands.”

You don’t need another developer. You need someone who can evaluate your architecture, challenge your technical decisions, and set the right foundation.

Dealing with one of these? Let’s figure out the right fix together.

Dealing with one of these? Let’s figure out the right fix together.

How we work together

Three ways to work with ExergyIQ.

From two engineers to a full programme. Initial mobilization typically happens within two to four weeks.

From 2 engineers · Monthly

Team extension

Our engineers embed into your existing teams, work in your tools, attend your standups, and ship in your release cycles. Scale the team up or down as the roadmap moves.

Contributing to production in days, not quarters.

Fixed scope · Fixed fee

Project-based delivery

Defined scope, fixed timeline, known price. We take ownership of the architecture, execution, and delivery of a specific initiative from kickoff to production — an MVP or a migration.

You get outcomes, not timesheets.

Long-term · SLA-backed

Dedicated teams

A full engineering team, under your direction, for long-term product or platform work. Stable, senior, and deeply embedded in your business context, with managed support and SLAs.

Context compounds instead of resetting.

ExergyIQ integrated into our team within two weeks and started contributing to production immediately. Their engineers understand complex systems and don’t need hand-holding.

Engineering Director

Financial Services Firm

Let’s talk

Let’s talk about what you’re building.

Whether you’re a founder who needs two senior engineers next month, or an enterprise running a multi-year platform effort, the conversation starts the same way: 30 minutes discovery call, no pitch deck.

2-week architecture & build plan

Performance & scalability diagnostic

Modernization assessment

Platform value assessment