Manual, repetitive work
Hours lost to data entry, reports, and copy-paste workflows that should run themselves.
Custom software & AI systems
We build the
software that
makes AI work.
We design, ship, and maintain custom software and AI agents that hold up under real load. Not demos that fall apart in week three.
- Reply time
- < 24 hrs
- Engagement
- Build + maintain
- Team
- Senior only
01 · The problem
Most companies don't have a software problem. They have a seams problem. Twelve tools that don't talk, a spreadsheet holding the business together, an AI pilot that never shipped. We build the layer that closes the gaps, then stay to maintain it.
Disconnected tools
CRM, inventory, accounting, support. All siloed, so your team becomes the integration layer.
Legacy infrastructure
Systems that are hard to maintain, impossible to scale, and quietly blocking growth.
AI that never shipped
A promising prototype with no evals, no guardrails, and no path into production.
02 · How we build
Phase 01
Architecture
Architecture
before pixels.
Data models, boundaries, and failure modes get designed first. That's the difference between software that scales and software you rewrite in a year.
- Domain modeling
- API design
- Threat modeling
- Cost envelope
Phase 02
AI as a
AI as a
load-bearing layer.
Models are wired in where they create leverage, with retrieval, evals, and guardrails around them. Not a chat box bolted to the corner of your app.
- Agents & tool use
- RAG pipelines
- Eval harness
- Human-in-the-loop
Phase 03
Shipped.
Shipped.
And still ours.
We deploy, monitor, and stay on the hook. Updates, fixes, and new features come from the same engineers who wrote the first commit.
- CI/CD
- Observability
- On-call posture
- Quarterly roadmap
03 · What we build
Three ways in.
One team behind all of it.
01
Custom software development
Web platforms, internal tools, APIs, and SaaS products shaped to your workflow.
Off-the-shelf software makes your business bend around someone else's assumptions. We build the system your operation actually runs on, then keep it fast as it grows.
- Customer-facing web platforms & SaaS
- Internal dashboards and admin tooling
- APIs, integrations, and data pipelines
- iOS & Android when you need it native
- React
- Next.js
- TypeScript
- Node
- Python
- PostgreSQL
02
AI integration & agents
Language models, autonomous agents, and retrieval wired into production systems.
The gap between a demo and a dependable agent is evals, guardrails, retries, and observability. That gap is most of the work, and it's what we specialize in.
- Agents with real tool access and audit trails
- RAG over your documents, tickets, and data
- Eval suites so quality is measured, not vibed
- Cost, latency, and fallback engineering
- Claude
- OpenAI
- Gemini
- LangGraph
- Vector DBs
- Evals
03
Modernization & automation
Legacy systems rebuilt, operations rewired, manual processes retired.
We migrate what's worth keeping, replace what isn't, and automate the glue between your tools, without stopping the business.
- Legacy migration with zero-downtime cutovers
- Process automation across existing tools
- Cloud infrastructure and CI/CD
- Reporting that replaces the spreadsheet
- AWS
- GCP
- Docker
- Kubernetes
- Stripe
- HubSpot
04 · Live demo
Watch an agent actually work.
Pick a scenario. Every agent we ship comes with this trace: every tool call logged, every decision inspectable.
$ codificial agent --attach ops-runtime
connected. select a scenario below to run a trace.
0%Tickets auto-resolved in pilot deployments
0Median weekly hours returned per operator
0%Tool calls logged, replayable, and auditable
05 · Use cases
Systems we've
built before.
AI ticket responder
Classifies tickets, drafts a grounded reply, resolves the routine ones, and escalates the rest with context attached.
01Inventory & invoice engine
Reads inbound documents, reconciles stock against accounting, and issues invoices. A human approves anything unusual.
02Internal knowledge agent
Retrieval over contracts, SOPs, and Slack history. Answers cite their source, and it refuses to guess.
03Lead qualification agent
Enriches every lead, scores it against your closed-won patterns, and routes the good ones straight to a rep.
04Document intake pipeline
PDFs, scans, and forms in, structured records out. Every field is confidence scored, and weak extractions get flagged.
05Operations intelligence
One warehouse pulling from every tool you run, surfacing the numbers leadership actually decides on.
06Something else
entirely?
Tell us the bottleneck. We'll say honestly whether software fixes it.
Start a project06 · Ownership
Layer 01
Interface
The part your customers judge you on. Fast, accessible, and designed rather than assembled from a template.
- React
- Next.js
- Design systems
- Motion
Layer 02
Logic
APIs, business rules, agents, and jobs. Typed end to end, tested where it matters, observable in production.
- Node
- Python
- FastAPI
- Queues
Layer 03
Foundation
Data, infrastructure, and deployment. Backed up, monitored, and boring on purpose.
- PostgreSQL
- AWS
- Docker
- CI/CD
07 · Stack
The right tool per job.
No religion about it.
08 · Process
Four steps.
Working software every week.
No black-box phases, no six-week silence. You see the thing running while it's being built.
Book a scoping call-
01
Discover
We map the bottleneck, quantify what it costs, and define success in numbers. Sometimes the honest answer is that you don't need us yet.
Week 1 -
02
Architect
Data models, integration points, AI surface area, and infrastructure, all designed and priced before production code is written.
Week 1 to 2 -
03
Build
Weekly deployments to a staging environment you can click through. Your feedback goes into the next cycle, not a change-request queue.
Week 2 → -
04
Deploy & maintain
We ship it, monitor it, and stay on. Same engineers, same context, no support desk that has never seen the codebase.
Ongoing
09 · Why Codificial
Small team.
Senior only. No handoffs.
You talk to the engineers
No account manager relaying requirements to juniors. The people on your calls write the code.
AI-native by default
We've shipped LLM systems since before it was a category. We know where models help and where they're an expensive mistake.
We stay for the maintenance
Most agencies disappear at launch. Ours are built around the years after, because that's when software compounds or rots.
Fixed scope, clear pricing
Scoped in writing, priced up front. If something changes mid-build, you hear about it before it hits an invoice.
You own everything
Your repositories, your cloud accounts, your data. No proprietary runtime, no lock-in clause, no hostage situation.
Production is the standard
Tests, monitoring, backups, and rollback plans ship with the feature. "It works on staging" isn't a delivery.
10 · Questions
Before you
write to us.
What does a project typically cost?
A focused automation or single agent usually lands in the low five figures. Full platforms with integrations and ongoing maintenance run higher. We scope and price in writing before anything starts.
How fast can you ship?
A contained agent or automation typically goes live in two to four weeks. Larger platforms run two to four months, with working software on staging every week from week two.
Can you work with our existing codebase?
Yes, and often that's the better move. We audit it, tell you plainly what's worth keeping, then extend it or plan a migration that doesn't stop the business.
What happens after launch?
We stay. Monitoring, updates, fixes, and new features come from the same engineers, on a monthly agreement. If you take it in-house later, we document and hand over cleanly.
Do we own the code and the data?
Completely. Code lives in your repositories, infrastructure runs in your cloud accounts, and data never leaves systems you control. There's no proprietary runtime and no lock-in clause.
Are you remote?
We're based in San Antonio, Texas, and work with clients worldwide. Async by default, with a standing weekly call in your timezone. Every inquiry gets a human reply within 24 hours.
11 · Contact
Tell us what's
breaking.
Describe the bottleneck in a paragraph. You'll get a real reply from an engineer within 24 hours, not a calendar link and a brochure.