AI-native software engineering
Ship product like it's 2027.
Engineering pods that pair with AI at every stage — spec, code, test, deploy — so you move at a speed no traditional team can match.
Ask Logos AI about this →What this covers
From a blank repo to something in production — architecture, implementation, and the operational plumbing around it, not just feature code dropped into an existing codebase.
Every engineer pairs with AI at every stage — spec, code, review, test — the same loop we run internally, not a bench of engineers typing alone.
Rebuilding what's already live without stopping the business that depends on it — monolith-to-services splits and vendor replacements done incrementally, not a risky rewrite from scratch.
A pod that sits inside your existing workflow and ships alongside your team, rather than a consulting engagement that hands off a deck at the end.
For founders and CTOs who need real engineering capacity now — not a six-month hiring cycle.
Psychometric assessment platform
A full-stack assessment platform with an AI virtual mentor built in.
CalcX
A sales workbench where a field rep — or the prospect themselves — can model capacity, financing, and battery setup over a 5-20 year horizon and get IRR back instantly.
DGR Bot
Multi-agent Q&A over live SCADA data — generation and asset health, on demand.
Energy Dashboards
Unifies generation and consumption data into one platform for decisions.
Platform Refactor
Rebuilt the client's platform from a monolith into services for scale.
SME Loans Platform
A lender-borrower matching engine and loan workflow platform, in active build.
Universal Audit Platform
Turns a policy document into deterministic audit rules, runs, alerts, and cases.
Frequently asked questions
The same answers our chat gives — no need to open it just to check.
Why not just hire?
Hiring a strong team takes months you may not have, and a traditional agency adds a layer of account management between you and the people doing the work. A pod gets you people who've actually shipped software, AI-native practice, and direct access — usually live in weeks, not a quarter.
What does working together look like?
The stages are the same ones any build goes through — spec, build, review, ship. What happens inside them is what's different, and we'd rather show you that than promise a generic timeline that won't hold for every project:
See the full process on our homepage →What's your tech stack?
We're deliberately stack-agnostic — TypeScript/React/Next.js and Python are our most common defaults, but we match whatever your existing codebase or team already uses rather than forcing a rewrite.
Can you work with our legacy codebase?
Yes — modernizing legacy systems is regular work for us, not a special case. We start by understanding what's actually load-bearing before touching anything, then modernize incrementally so the business doesn't stop while we work.
Who owns the code and IP?
You own everything we build for you outright — code, architecture, documentation. No vendor lock-in by design; that's also why we hand over systems your team can actually run without us.
What's included?
Engineering pods that pair with AI at every stage — spec, code, test, deploy — so you move at a speed no traditional team can match. Concretely, that covers: full-cycle product builds, ai-paired development pods, legacy modernization & refactors, embedded teams, not consultants.
Can I see proof of work?
Here's real work we've shipped under ai-native software engineering:
See the work above ↑How do you actually work, day to day?
We work in small, hands-on pods paired with AI tooling at every stage — spec, code, review, test. Practitioners, not a bench, AI-paired by default, Model- and stack-agnostic, Built to transfer.
How much does this cost?
Pricing depends on scope, so we don't quote a shelf rate here — a short conversation gets you an actual number, usually within a week of scoping.
How long does an engagement take?
Most engagements are scoped within a week of an initial conversation, with the pod starting shortly after.
What makes you different from other AI agencies?
The short version: practitioners who actually ship, not a bench of trainees; AI-paired by default rather than as a pitch; no lock-in to a specific model or cloud; and we build things your team can actually own afterward.