AI-Powered Business Process Automation
We build it. We back it.
Attolia is a U.S.-incorporated engineering firm that builds AI-powered automation, data, and cloud systems for growing businesses and enterprise teams — and stands behind every one of them in production. Most vendors disappear after delivery. Attolia is designed around what happens after.
Production watch
systems we run
Who we are
Senior engineering depth with a delivery-first operating model.
Attolia is a U.S. firm established in 2026. Our strength comes from a team with senior backgrounds across enterprise healthcare IT, cloud, and security — experience we bring to every engagement, while being clear about what we have delivered under the Attolia name so far.
Registered U.S. company
An Indiana C-Corporation, structured for long-term client and enterprise relationships.
Experienced team
Senior engineering backgrounds across healthcare, cloud platforms, and security practices.
Built to deliver
Founder-led execution focused on shipping, measuring, and maintaining systems in production.
What we do
Five service areas, one accountable partner.
We work across five connected areas — AI automation and agents, machine learning and MLOps, data and document pipelines, security and cloud assurance, and cloud infrastructure and DevOps — so one team can take a problem from idea to running system.
AI Automation & Agents
Multi-agent LLM systems for documents, retrieval, and workflow automation.
Machine Learning & MLOps
Model pipelines, deployment patterns, evaluation, and drift monitoring.
Data & Document Pipelines
ETL, PDF extraction, and reporting outputs designed to be ERP-ready.
Security & Cloud Assurance
Secure code review, threat modeling, and AWS-focused hardening.
Cloud Infrastructure & DevOps
AWS and Azure delivery, containers, infrastructure as code, CI/CD, and monitoring.
How we work
A disciplined path from problem framing to supported production system.
Four stages — scope, build, deploy, support. We own the requirements, documentation, and adoption work that many vendors leave to the client.
1
Scope
Map the problem, constraints, and measurable outcomes before implementation begins.
2
Build
Design and develop in short, reviewable increments rather than opaque long cycles.
3
Deploy
Ship into your cloud environment with security controls and documentation in place.
4
Support
Monitor, maintain, and iterate after launch so the system improves in production.
The Attolia standard
Support isn't an add-on here. It's the product.
Anyone can hand over a system and move on. Attolia is designed around what happens after delivery — so the system you get on day one is still earning its keep on day five hundred.
- Documentation with every delivery Your team can operate and extend what we build — no black boxes.
- Monitoring from day one We watch the system in production and act on issues before they become your problem.
- A direct line to the engineers who built it No ticket maze, no support tiers — you talk to the people who wrote the code.
- We stay after launch Maintenance, iteration, and honest answers for as long as the system runs.
Case studies
Proof over promises.
Two systems running in production — one delivered for a client, one built and operated in-house. Same pattern both times: a scoped problem, an automated pipeline, measured output, and support after launch.
Client engagement
Accurate weekly pricing across 71 catalog items for a building-products distributor.
Our first delivered engagement. Every week this distributor has to reprice 71 lumber products from a dense, multi-page industry report — prices that move constantly. Doing it by hand was slow, but the real risk was a single wrong number quietly eroding margin on every sale. We automated the entire cycle.
0
volatile prices verified and repriced automatically every week — no manual lookups, no transcription errors, no margin lost to a stale number.
A weekly scramble through a dense PDF
Each week, someone pulled current prices for all 71 products from a long, dense industry report, applied freight and conversion math in a spreadsheet, and emailed the result — two to four hours of careful, error-prone work, every single week.
An end-to-end extraction and pricing pipeline
Attolia built a pipeline that reads the weekly report, extracts the right price for each of the 71 products, runs the freight and conversion calculations, outputs a clean pricing file, emails it on schedule, and feeds a Power BI dashboard for week-over-week tracking.
Right prices, every week, hands-free
A repeatable, hands-off process: all 71 prices correct every week, the manual effort gone, and one always-current Power BI dashboard. The time saved is real — but the bigger win is margin protected on every sale by never shipping a stale price.
Internal build
A self-running AI pipeline that preps job applications, end to end, every day.
Built in-house as a proving ground for our agent architecture. The system watches the job market, matches fresh openings against a candidate profile, and produces a tailored application prep kit for every match — unattended, on a daily schedule.
Daily
role-matched application prep kits, generated and delivered with no one at the keyboard.
High-volume work that still demands judgment
Applying well is research-heavy: find the relevant openings, judge fit honestly, and tailor materials for each one. Done by hand it eats hours every day — and quality slips exactly when volume matters most.
An agent pipeline that runs itself on AWS
n8n orchestration with LLM-powered role matching, deployed on AWS EC2 with Docker behind HTTPS. Each day it pulls in new listings, scores them against the profile, and generates a complete prep kit for every qualified match.
The same pattern behind our client work
Scheduled agents, LLM judgment, document generation, cloud deployment — the exact architecture we apply to client workflows like pricing, intake, quoting, and reporting. We run it on ourselves first, so it's proven before it reaches you.
Technical capabilities
The stack behind delivery.
The tools we reach for most, grouped by where they fit — from AI and LLM work through backend, data, cloud, DevOps, and security.
AI & LLM
ClaudeOpenAIAWS BedrockRAG / QdrantEmbeddingsLLM evaluation
Backend & Data
Python (FastAPI)REST / GraphQLPostgreSQLMS SQL ServerETL pipelinesTesting
Cloud & DevOps
AWSAzureDockerTerraform (IaC)CI/CDMonitoringIAM
Security
Secure code reviewThreat modelingAWS securityGenAI / LLM security
Practices
HIPAA-awareDocumentationCode review
Why Attolia
Positioned around outcomes, ownership, and maintainability.
We compete on what happens after the build — outcomes over output, end-to-end ownership, secure and compliant delivery, flexibility across AWS and Azure, and systems your team can actually operate and extend.
Outcome-focused
Success is defined in business results rather than in the volume of deliverables produced.
End-to-end ownership
Architecture, build, deployment, and production support stay with one team instead of multiple hand-offs.
Secure & compliant
Security-first delivery and HIPAA-aware practices for privacy-sensitive environments.
Vendor-flexible
Fluent across AWS and Azure, so we fit your environment instead of forcing our own.
Measurable & maintainable
Documented, tested, and built for long-term operation and extension.
Single accountable partner
Broad technical coverage under one accountable engagement — a single point of ownership.
Ways to engage
Start small or scope a full build.
Three ways to work with us. Most clients start with a pilot — we scope the work first, then talk commercial terms.
Pilot / Proof of Concept
A fixed-scope engagement to prove value on a single workflow in a few weeks.
Fixed-Scope Project
A full build with defined deliverables, timeline, and acceptance criteria.
Managed Support / Retainer
Ongoing development, monitoring, and iteration for live production systems.
FAQ
Straight answers before you reach out.
The questions we hear most from teams considering an engagement.
How does an engagement start?
With a discovery call. We learn your priority workflow, then put the scope in writing — deliverables, timeline, and how success will be measured — before any commercial commitment. Most clients then start with a contained pilot they can judge on results.
How long does a pilot take?
A pilot is deliberately small: one workflow, a fixed scope, and a working result in a few weeks. It exists to prove value quickly — if the numbers don't justify going further, you find out early and cheaply.
Do you work inside our existing cloud and tools?
Yes. We deploy into your AWS or Azure environment and integrate with the systems you already run — ERPs, databases, reporting tools like Power BI, and email or messaging workflows — rather than forcing a platform of our own.
What do we actually receive at handover?
A running system in your environment, plus the documentation to operate and extend it — architecture notes, runbooks, and configuration. No black boxes: your team should never depend on us to understand what was built.
What happens after launch?
That's the part we're built around. We monitor the system in production, fix issues before they become your problem, and keep iterating. And when you need us, you talk directly to the engineers who wrote the code — no ticket tiers.
Can you handle sensitive or regulated data?
We follow security-first delivery practices — secure code review, threat modeling, least-privilege cloud configuration — and bring HIPAA-aware experience from enterprise healthcare IT backgrounds for privacy-sensitive environments.
Next step
Let’s start with a focused pilot.
Start with a discovery call. From there we scope the work in writing, then deliver a contained pilot you can judge on results.
Discovery call
We learn your priority workflow and its constraints.
Scoped proposal
A written scope with timeline and clear success measures.
Pilot build
We deliver and demonstrate on a contained problem first.