Services

Pick the problem. The service follows.

Software engagements fail in predictable ways: bloat, slideware, burn, mystery code, deploy fear, abandonment. Each service below is a countermeasure, priced by outcome, not by headcount.

The enemy: agency bloat

Product engineering

The standard agency model bills you for a project manager, a scrum master, two mid-level developers and a QA, then spends the first month "aligning on requirements". Six months later you have a burndown chart and half a product.

End-to-end design and build of web platforms and SaaS products: data model, API, frontend, auth, payments, admin, deployment. Multi-tenant architectures, row-level security in the database, typed codebases with migrations and tests.

Who it is for: Founders and teams who need a real product built, not a body shop engagement.

What you get

A deployed, monitored production system, not a handover zip
Multi-tenancy and auth designed in from the first migration
Typed code, CI, tests, and documentation as defaults
Weekly demos of working software, not status decks

The enemy: slideware AI

AI integration & agents

Most "AI transformation" ends as a chatbot demo that melts on contact with real data, real users and real provider outages. The gap between an impressive demo and a production AI feature is 90 percent of the work, and it is precisely the part consultancies skip.

LLM features engineered like infrastructure: multi-provider gateways with failover, structured outputs with validation, cost tiering (cheap models for bulk, frontier models where stakes are high), feedback loops that improve accuracy over time, and agents with real tool access under least-privilege constraints.

Who it is for: Teams that want AI in production this quarter, not in the innovation lab forever.

What you get

AI features that keep working when a provider throttles or dies
Cost engineering: free tiers and cheap models where quality allows
Human-correction loops that compound into accuracy
Agents that act on real systems within audited boundaries

The enemy: runway arithmetic

MVP in weeks

Every month of "still building" is a month of salaries, a month of competitors shipping, and a month of investor patience burning. Traditional timelines were set when code was typed by hand. They are obsolete.

Idea to production-grade MVP in 2 to 6 weeks: the walking skeleton first (deployed, TLS, auth, monitoring in week one), then features in priority order. The MVP is the first version of the real product, on an architecture that scales, not a throwaway demo.

Who it is for: Founders validating a product, intrapreneurs proving a concept before budget season.

What you get

Deployed skeleton in week one, features landing weekly
An architecture the real product grows into, no rewrite tax
Honest scope negotiation: what ships now vs what waits
Everything needed for a demo to investors or first customers

The enemy: inherited mystery code

Code & security audits

You acquired a codebase, inherited one from a departed team, or suspect the one you paid for is worse than it looks. Everyone tells you "it works", nobody can tell you if it is safe to build on, and the one developer who knew is gone.

Structured review of architecture, code quality and security: OWASP Top 10 sweep, authentication and session handling, secrets hygiene, dependency risk, data isolation, performance hot spots, deployment and backup posture. Findings ranked by actual risk with concrete fixes, and optionally, we fix them.

Who it is for: Buyers in due diligence, teams inheriting legacy, founders who want the truth.

What you get

A written report ranked by risk, in plain language plus technical detail
OWASP Top 10 and data-isolation findings with reproduction notes
A pragmatic fix plan: what is urgent, what can wait, what to ignore
Optional: the fixes themselves, tested and deployed

The enemy: the invisible cloud bill

DevOps & self-hosting

Cloud spend creeps until it is a top-three cost line, while deploys still depend on one person and a prayer. Meanwhile half the stack could run on hardware you own, for the price of electricity, with better latency.

Deployment pipelines, containerization, reverse proxies with automatic TLS, monitoring, alerting, backups and security hardening. On your cloud, on bare metal, or the hybrid where each workload lives where it is cheapest. We run our own production fleet this way at 99.9% uptime; we sell what we practice.

Who it is for: Teams tired of deploy anxiety, and anyone whose cloud bill grew faster than their traffic.

What you get

One-command, repeatable deploys for every app
TLS, security headers, rate limiting and 2FA as a baseline
Three-layer monitoring with instant alerts to where you already are
A written runbook your team can actually operate from

The enemy: the vanished developer

Rescue & takeover

The freelancer stopped answering. The agency rotated your team for the third time. The product mostly works, but nobody dares deploy, there are no tests, and the documentation is a README that says "TODO". Meanwhile the business runs on this thing.

Adoption of abandoned or fragile codebases: first stabilize (backups, deploys, monitoring), then understand (docs, architecture map), then harden (tests around critical paths), then improve. Every discovered bug becomes a regression test before it is fixed, so the codebase only gets safer.

Who it is for: Businesses held hostage by their own software, and the people who inherited it.

What you get

A codebase that can be deployed without fear, usually within weeks
Documentation and architecture maps that survive personnel changes
Regression tests around everything that has ever broken
A steady release cadence restored

Got a project that "just needs to ship"?

Tell me what you are building, what is blocking it, and when you need it live. You will get an honest answer about scope, cost, and timeline within 24 hours. No discovery-call theater.

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