Agentic systems · Security-first engineering · Production-grade delivery Phoenix / Remote

From nothing
to production.

We design and build high-consequence web systems, AI automation pipelines, and security-hardened platforms for teams working beyond the obvious.

Define the problem Available for new projects
Built Production systems, not prototypes
Secure Security designed into delivery
Owned Systems your team can operate
Day 1 Real infra. Real data. No staging theater.

Most software problems are not really software problems.

They are unclear processes, disconnected tools, missing decisions, and edge cases nobody owns. We make the problem legible, then build the system that resolves it.

Built to work.
Built to last.

Digital products

Purpose-built websites, platforms, portals, and internal tools from prototype through deployment.

Strategy / UX / Engineering

Agentic engineering

Autonomous AI systems that perceive, decide, and act — grounded in your data, your workflows, and measurable outcomes. Not demos. Not wrappers. Working agents in production.

Agents / RAG / LangGraph / Evals

Systems automation

Reliable integrations and background systems that remove manual work without creating a black box your team cannot understand or recover from.

APIs / Data / Operations

Hard problems

Legacy constraints, unusual environments, fragile handoffs, and the last ten percent that determines whether a product survives contact with reality.

Architecture / Recovery / Edge cases

No black boxes

We do not sell transformation theater. We ship systems your team can understand, operate, and extend.

Shipped systems.
Real constraints.

Agentic pipeline Shipped

Autonomous document intake

Replaced a 3-day manual review process for a professional services firm with an agent loop that extracts, classifies, validates, and routes documents with human-in-the-loop escalation for edge cases.

Human review retained for edge cases.
Python · LangGraph · RAG · Custom evals
Security · Web Shipped

Zero-trust client portal

Custom portal built with threat modeling, hardened authentication, OWASP-aware architecture, and a penetration test built into the delivery timeline.

Threat model and penetration test built into delivery.
Next.js · Auth hardening · Pentest · OWASP
Applied AI Shipped

Production AI co-pilot

Internal LLM tooling for a 40-person ops team. RAG over a proprietary knowledge base, a structured evaluation framework, and a CI/CD pipeline for model version management and rollback.

Evaluation and rollback included from the start.
RAG · LLM · Eval framework · CI/CD

Projects shown are anonymized at client request. Details available under NDA.

Clarity is the first deliverable.

  1. Interrogate

    Find the real constraint, the actual user, the true risk, and the outcome that matters — before writing a single line of code. Most projects fail here because nobody asked the uncomfortable question.

  2. Define

    Ambiguity becomes a visible architecture, a sequenced scope, and a set of explicit decisions. You can see what is being built and exactly why before it exists.

  3. Build

    Ship the smallest complete system into the environment where it must perform — not a staging facsimile. Real infrastructure, real data, real edge cases from day one.

  4. Harden

    Observe real use, close the edge cases, run the security pass, and leave the system ready to evolve — with documentation and architecture your team can actually operate without us.

Bring us the thing
that does not exist yet.

A rough brief is enough. Tell us what is broken, missing, or still undefined. We'll respond within one business day.

Prefer email? hello@nullcorp.dev