Your release takes
three weeks.It should take an afternoon.
Neuralogix automates the software delivery lifecycle end to end — from the first commit to the production deploy — for banks, payment networks, and enterprises running systems too critical to break.
// two-week engagement · no commitment beyond the review
Engineers who've shipped where the stakes are real.
We're not degree holders who happened to find computers. We're a small, highly skilled, highly adaptable team of engineers who've built startups from a blank repository, then gone on to hold production systems together at some of the most demanding companies in security, finance, and enterprise software.
Founders, not just employees. Several of us have built and shipped our own startups end to end — so we know exactly what "ship it now" really costs later.
Battle-tested at scale. Years spent inside companies where a bad release is a headline, a breach, or a regulator's phone call — not a Slack apology.
Quality over ceremony. We're judged on delivery, but we optimize for the code nobody has to quietly rewrite six months later.
Backgrounds include
Engineers on our team have built and shipped inside teams at:
We measure ourselves on quality, not just delivery.Any team can hit a deadline once. We build automation and code that your engineers still trust a year later.
Neural where judgment helps.
Logic where certainty is required.
We don't automate everything the same way. Every workflow gets split into what needs a model's judgment and what needs a rule that never bends.
AI systems for drafting, reading, explaining, and triaging work — never for deciding what ships.
- Test authoring from requirements using agentic workflows
- AI code review and pull request triage
- Build failure diagnosis with root-cause analysis
- Legacy code comprehension and explanation
- LLM evaluation harnesses wired into CI
- Prompt and model version control
Deterministic logic for gates, policies, approvals, and evidence recording — the parts that must never guess.
- CI pipeline design and migration
- Policy-as-code enforcement
- Reproducible, cryptographically signed builds
- Compliance evidence automation
- Self-healing remediation
- Merge gates and code review automation
"If someone offers you an AI that approves production deploys, ask them what happens the day it's wrong."
— our honest opinion, not a sloganFive places we plug into your delivery pipeline.
Click a category to see exactly what we take off your team's plate.
Fifteen ways we plug into your engineering org.
Beyond the pipeline: the complete range of software engineering services we deliver, from first line of code to the systems that keep it running. Every one of them is AI-accelerated — and every line an engineer signs off on before it ships.
Custom Software Development
Bespoke applications engineered around your exact workflow, not a template.
Web Application Development
Full-stack platforms built for scale, speed, and years of maintainability.
Mobile App Development
Native and cross-platform apps shipping to both stores from one codebase.
API Design & Integration
REST, GraphQL, and gRPC services that connect your systems without duct tape.
Cloud Architecture & Migration
AWS, Azure, and GCP infrastructure designed for the load you'll have next year.
DevOps & CI/CD Implementation
Pipelines that build, test, and deploy automatically while your team sleeps.
Quality Assurance & Test Automation
Manual, automated, and performance testing that catches regressions before users do.
Software Maintenance & Support
Patches, upgrades, and monitoring so nothing quietly rots in production.
Legacy System Modernization
Refactor or rearchitect whatever is holding your roadmap hostage.
Database Design & Administration
Schemas and query paths engineered for the data you actually have.
UI/UX Design
Interfaces people can use without a manual, backed by real usability research.
Software Consulting & Architecture Review
An outside, technical audit before a decision you can't easily undo.
Data Engineering & Analytics
Pipelines, ETL, and reporting infrastructure that turns logs into decisions.
Security & Compliance Auditing
Code review, penetration testing, and evidence for the regulator asking questions.
Product / MVP Development
From idea to a working, fundable product in weeks, not quarters.
A typical release, stage by stage.
This is execution time — the hands-on-keyboard and machine time inside each stage — for a regression-heavy release at a mid-size regulated engineering org, before and after we automate it. It's what a Pipeline Review measures for your pipeline specifically.
Four stages every release passes through. Before reflects manual handoffs and serial waiting; after reflects the same stage once it's gated, parallelized, and self-healing.
Execution time only. Your change-approval policy sits on top of this — and it's yours to keep, shorten, or automate too.
Curious where your pipeline loses the most time? A two-week Pipeline Review maps every stage like the ones above — ranked by ROI, no commitment beyond the review.
Book a pipeline review →Three ways to start. None of them need a leap of faith.
Pipeline Review
We map your delivery lifecycle stage by stage and tell you exactly where the time goes.
- Stage-by-stage lifecycle mapping
- Time analysis and bottleneck identification
- Ranked automation roadmap with ROI estimates
Automation Sprint
We automate one painful workflow end to end and ship working code into your repository.
- End-to-end automation of one workflow
- Working code delivered to your repo
- Fixed price and fixed scope
Embedded Automation Team
A dedicated squad inside your organization, building platform and transferring knowledge as they go.
- Dedicated squad within your org
- Platform building and knowledge transfer
- Quarterly reviews, exit option at each one
Your code. Your data. Your call on AI.
Source code and data ownership stays with you — always, no exceptions.
Every pipeline, module, and prompt is version-controlled and client-owned.
AI model access requires explicit written approval — nothing connects silently.
Non-production-only AI usage available as a starting point for data-sensitive teams.
We plug into the stack you already run.
CI / CD
Testing
AI / LLM
Containers & Kubernetes
Infrastructure
Cloud
Data & Process
Observability & Policy
Tell us where the pipeline hurts.
An engineer joins the first call — not just sales.