AI automation engineering & consultancy

We put clankers to work on the parts of your business that still run on paper, video, and muscle memory.

Clanker Automata designs, builds, and hardens agentic AI systems — software that reads, watches, listens, and reasons the way your best people already do — and ships them as real, running production infrastructure. Not a demo. Not a slide deck. A system you log into on Monday.

Founder-led engineeringMultimodal agent pipelinesDockerized, owned infrastructure
clanker.pipeline — live
Raw input ingested
photo · video · audio · handwritten page
source
Perception pass
vision + OCR + audio, multimodal read
clanker
Domain reasoning pass
structured extraction against your rules
clanker
Confidence flags surfaced
low-certainty fields queued for review
human
Report, record, or action shipped
your format, your system of record
output
Why this is possible now

Custom software used to cost more than the problem was worth.

You already know exactly how you'd automate your own workflow — you've imagined it a dozen times. What stopped you wasn't the idea. It was the price and the risk of hiring a development team to build it. AI-driven engineering has quietly rewritten that math.

Traditional vs Modern Engineering
Before

The custom software era

  • Months of discovery before a line of code ships
  • Six-figure budgets to digitize a paper process
  • Rigid forms that force your team to change how it works
  • A brittle MVP, then silence when the contractor moves on
  • Unstructured evidence — photos, video, handwriting — left out entirely
Now

The agentic engineering era

  • A working pilot on your real data inside days, not quarters
  • Agents that read your existing paperwork — no retraining your team
  • Multimodal reasoning over photos, video, and audio, not just text forms
  • Production infrastructure from day one: auth, databases, containers
  • A system that keeps improving as it sees more of your work
What we actually build

Full-stack agentic systems, engineered end to end.

Every engagement is grounded in the same discipline: real infrastructure, real reasoning, real accountability for what the system outputs. Here is the technical vocabulary — in plain terms.

Full-stack agentic systems
01 / perception

Multimodal intake

Clankers that see a photographed logbook page, watch a video, or listen to an audio track the same way a person would — and turn any of it into structured, usable data.

02 / architecture

Agentic pipelines

Multi-pass systems where cheaper, fast clankers triage and route work, and heavier reasoning clankers do the careful extraction — so cost and accuracy are both engineered on purpose, not left to chance.

03 / oversight

Human-in-the-loop by design

Your paper record, your judgment, stays authoritative. Every pipeline surfaces confidence and flags what needs a human glance instead of quietly guessing.

04 / reasoning

Domain-tuned extraction

Generic AI gives generic answers. We encode your field's actual rules, vocabulary, and judgment calls directly into the reasoning layer.

05 / infrastructure

Owned, production infrastructure

Dockerized services, real databases, authenticated logins, live status over background jobs — software you run on your own terms, not a rented sandbox.

06 / delivery

Iteration at agent speed

Because the build itself is AI-accelerated, revisions that used to take a sprint take an afternoon — your feedback loop, not a quarterly release cycle.

Beyond the build

Engagements for every stage of an AI-driven system's life.

AI-driven development changes every week — we spend our time staying ahead of it so you don't have to. Whatever stage you're at, there's a way to work with us that keeps the clankers under control.

infrastructure

Clanker Cloud

Hybrid infrastructure: AWS cloud + on-prem

Run your app on our managed Kubernetes clusters on AWS for speed, or on dedicated on-prem private compute and secure private inference when the data itself — PHI, proprietary IP, regulated records — can't leave your building. We also help clients architect toward SOC 2, HIPAA, and other relevant compliance requirements as part of the build.

  • Managed Kubernetes on AWS, dev to production
  • On-prem private compute & secure private inference for sensitive data
  • Architecture aligned toward SOC 2, HIPAA, ISO 27001 & more
  • 24/7 monitoring and alerting with a human who answers
Learn more →
strategy

Clanker Consulting

Architecture & strategy for teams already building

You already have a team and a codebase, and AI-driven development is moving faster than your process can absorb. We embed alongside your engineers to fix that — reviewing architecture, redesigning workflows, and pairing directly on the hard parts.

  • Architecture & agent-pipeline reviews
  • Workflow design for AI-assisted engineering teams
  • Embedded pairing with your engineers
  • Model, framework, and infrastructure selection
Learn more →
training

Clanker College

Personalized training for AI-driven engineering

AI-driven development changes every week — we're all figuring it out in real time. Clanker College is hands-on, personalized training that gets your team fluent in agentic tooling and installs our suggested development workflow, built around what you actually ship.

  • 1:1 and small-team training tracks
  • Our suggested AI development workflow, installed and taught
  • Curriculum kept current as the field moves
  • From onboarding through advanced agent orchestration
Learn more →
assurance

Clanker Assurance

Technical audits & investor-grade due diligence

Before you raise, acquire, or scale, someone needs to open the hood. Clanker Assurance is our audit practice — the kind of deep technical due diligence a McKinsey engagement runs for a board, aimed squarely at AI-built software: architecture, scalability, and how it holds up under real load.

  • Full architecture & code audits of AI-built systems
  • Benchmarking and load/stress testing under real-world traffic
  • Investor- and board-ready due diligence reports
  • Scalability & security risk assessment before you scale or sell
Learn more →
legacy systems

Clanker Legacy

Documentation, reverse engineering & modernization for existing systems

Not everything needs to be rebuilt from scratch — most of it needs to be understood first. We go into the undocumented, half-abandoned, and quietly load-bearing systems your business already runs on: reverse-engineer what they actually do, document them properly, and modernize or automate around them without breaking what works.

  • Reverse engineering of undocumented legacy code and systems
  • Full technical documentation of what actually exists, not what the wiki says
  • Independent technology review before a migration, hire, or handoff
  • Modernization paths that don't require a full rewrite
  • Process automation engineered onto your existing workflows
Learn more →
How an engagement runs

From your vision to a running system — fast, and in the open.

Development Process
01

Map the real workflow

We sit with the actual logbooks, spreadsheets, footage, and habits — not an idealized version of them.

02

Prototype on your data

A working pipeline against real samples within days, so you're evaluating output, not a pitch.

03

Pilot in parallel

The system runs alongside your current process — nothing is replaced until it's trusted.

04

Harden for production

Auth, persistence, monitoring, and deployment — engineered as owned infrastructure, not a throwaway script.

05

Operate & extend

We stay attached to what we ship, extending the system as your workflow and ambitions grow.

Where our clankers have gone to work

Proven across genuinely different kinds of real-world evidence.

We don't build one thing. We build the underlying discipline — multimodal perception plus domain-tuned reasoning — and apply it wherever a field currently depends on undigitized human effort.

Real-world Applications

Field operations & compliance

Handwritten inspection logs and daily field notes turned into finished status reports and permit correspondence — without changing what your inspectors carry in their trucks.

Performance & competition analytics

Raw event footage broken into per-athlete, per-segment metrics — timing, technique, and outcome — rendered as dashboards coaches and athletes actually read.

Diagnostic & inspection video intelligence

A video of a troubleshooting session, machine, or system in the field — auto-segmented, labeled, and reasoned over against domain-specific diagnostic logic.

Organizational systems & knowledge tooling

Internal portals, research tools, and structured knowledge systems that turn scattered institutional know-how into something searchable and shared.

Mission

Close the gap between what you can imagine automating and what you can afford to build. Every domain expert sitting on undigitized data — paper, video, memory — deserves engineering-grade software built around how they actually work, not the other way around.

Vision

A world where automating a real workflow is measured in days and dollars, not quarters and headcount — where understanding your own process is the only prerequisite for having it built.

Method

Agentic, multimodal AI systems — engineered with the same rigor as any production software — that read, watch, and reason over the evidence your business already produces.

Standard

We ship owned infrastructure, not prototypes: Docker containers, real databases, real authentication. If it can't run in production, it isn't finished.

I.

Multimodal by default

Your evidence isn't a spreadsheet. Our clankers see, hear, and read the way your team already documents its work.

II.

Human stays in charge

The source of truth stays yours. Clankers draft, flag, and propose — your people decide and approve.

III.

Production, not demos

Every engagement ends in a system with a login, a database, and an owner — not a proof-of-concept that dies in a repo.

IV.

Speed is the advantage

AI-driven engineering compresses the build cycle by an order of magnitude — that speed gets passed to you.

Leadership

Built and operated by a principal engineer, not a sales team.

Ben Camp — placeholder headshot

Ben Camp

Founder & Principal Engineer

Ben is a hands-on systems engineer working at the leading edge of AI-driven software development — architecting agentic, multimodal pipelines that run in real production environments, not research notebooks. He personally designs, builds, and operates every system Clanker Automata ships: the infrastructure, the reasoning layers, and the interfaces domain experts actually use. That direct engineering ownership — one principal engineer who understands the full stack, working with a fleet of AI agents rather than a slow-moving team — is what makes senior-caliber, production-grade software achievable at a price and speed that was never possible before.

Explore the projects that rely on Clanker Automata and Clanker Cloud to power their operations.

Let's build

You already know what you'd automate. Let's find out what it takes to ship it.

Bring the messy, real version of your workflow — the handwritten logs, the phone videos, the spreadsheet nobody else understands. That's exactly what we work from.