Stop paying people to do a computer's job.
We connect the tools you already use, pull the data buried in your PDFs, invoices, and emails, and turn slow manual processes into automated pipelines that run with 100% reliability — so your team spends time growing the business, not re-typing it into a spreadsheet.
What We Build
Every automation is built around the manual process actually slowing your team down today — not a generic template bolted onto your business.
Document & Data Extraction
Say goodbye to manual data entry. We turn your PDFs, invoices, contracts, and emails into clean data automatically.
- Pulls exact data points from invoices, contracts, and receipts
- Writes straight into your database, ERP, or spreadsheet
- No manual re-typing, no copy-paste errors
- Built on structured AI parsing tuned for accuracy, not guesswork
Reliable, Predictable Automation
Your workflows run the same way every single time — no surprises, no AI improvising on its own.
- Every step follows a fixed, code-controlled process
- AI is only used to read and classify data, never to make decisions
- No hallucinated actions — the system does exactly what it's told
- Fully auditable, so you can trace exactly what happened and why
Connecting Your Existing Tools
Your CRM, payment provider, legacy database, and internal tools — working together instead of in silos.
- Integrates with CRMs like HubSpot and Salesforce
- Connects legacy systems that don't naturally talk to modern tools
- Keeps customer and transaction data in sync everywhere it needs to be
- Custom-built connectors for whatever your business already runs on
Never Lose a Lead or a Transaction
If a payment gateway, API, or third-party service goes down, your business doesn't lose data because of it.
- Automatically retries failed requests instead of dropping them
- Built to handle high volume without slowing down
- Every transaction is tracked until it's confirmed complete
- Designed to stay reliable exactly when things go wrong elsewhere
Instant Answers From Your Own Data
Turn your company's documents, wikis, and historical records into something your team can actually search.
- Makes internal knowledge searchable in plain language
- Surfaces answers from your own documentation instantly
- Keeps sensitive company data private and local to your systems
- Cuts down time spent hunting through old files and folders
Not sure what to automate first?
Most businesses have three or four repetitive processes quietly costing hours every week. Tell us what your team does manually — we'll tell you honestly whether automation is worth it.
Our Tech Stack
Built for reliability first — AI handles reading and classifying data, code controls everything that happens next.
Backend & Orchestration
A structured, code-controlled execution layer — AI reads and classifies, your backend decides what happens next.
- NestJS (Fastify adapter)
- TypeScript
Queuing & Reliability
High-performance job queues that catch failures and retry automatically, so nothing gets silently dropped.
- BullMQ
- Redis
Database & Retrieval
Structured storage plus vector search, so both transactional data and internal knowledge are queryable.
- PostgreSQL
- pgvector
AI & Data Extraction
Structured LLM parsing used specifically for reading and classifying data, never for controlling logic.
- Structured LLM parsing
- RAG (Retrieval-Augmented Generation)
Start With One Workflow, Expand When It Proves Itself
We typically start by automating a single high-friction process so you can see the time and cost saved firsthand. Once it's proven, we extend the same infrastructure to additional workflows — an expansion, not a rebuild.
Why Businesses Choose Custom Over No-Code
No-code automation tools are fine for simple tasks — until volume, reliability, or custom logic outgrows what they can do. Here's what custom automation gets you instead.
Deterministic by Design
Your business logic runs in code, not in an AI's judgment call — the same input always produces the same result.
No Lost Transactions
Automatic retries and failure handling mean a downed third-party API never means lost data or lost revenue.
Fits What You Already Use
Built around your existing CRM, database, and tools — not a separate system you have to migrate into.
Scales With Volume
Queue-based architecture handles traffic spikes without falling over or losing requests.
How an Automation Project Runs With Us
A transparent, six-stage process from first conversation to long-term support.
Discovery
We map your current manual process end-to-end — where the data comes from, where it needs to go, and what breaks today.
Workflow Design
We design the automated version of that process as a clear, auditable state machine before any code is written.
Development
Clean, tested code built against the agreed workflow, with visible progress throughout.
QA & Validation
We test against real documents, real API failures, and edge cases — not just the happy path.
Launch
Staged rollout alongside your existing process, with a fallback plan until the automation is fully trusted.
Support
A free hypercare window after launch, followed by ongoing monitoring or new workflows as your needs grow.
Frequently Asked Questions
Common questions from clients scoping a workflow automation project.
How is this different from a no-code tool like Zapier or Make?
No-code tools are great for simple, low-volume tasks, but they hit real limits fast: unpredictable pricing at scale, weak error handling, and no room for custom logic. We build your automation as real, owned software — deterministic execution, proper retry handling, and logic tailored to exactly how your business works, without a per-task pricing ceiling.
Will AI make mistakes with our data?
The AI in your system is only used for reading and classifying data — extracting a total from an invoice, for example — never for deciding what action to take. All business logic and decision-making run in code we control, which means the same input always produces the same, predictable result. This is deliberate: it's what keeps automation from becoming a black box.
How long does it take to build a workflow automation system?
A focused automation — say, extracting data from one document type into one system — typically takes 4–6 weeks. Larger projects involving multiple integrations, queuing infrastructure, or internal knowledge search usually run 8–14 weeks depending on scope. You'll get a firm timeline after the discovery phase, once we've mapped your actual process.
Can this work with tools we already use?
Yes — that's the point. We build integrations around your existing CRM, database, payment provider, or internal tools rather than asking you to migrate to something new. If a tool has an API or a webhook, we can very likely connect to it; legacy systems without modern APIs can usually still be integrated with custom middleware.
What happens if a third-party service we depend on goes down?
Your automation doesn't lose the transaction. Failed requests go into a queue and retry automatically with increasing delays between attempts, so a temporary outage on a payment gateway or API doesn't mean a lost lead or a dropped order. You can see exactly what's pending and what's failed at any point.
Is our data secure?
Yes. Document extraction pipelines and internal knowledge search are both built to keep your data within systems you control, with role-based access where relevant. If your business has specific compliance requirements, we scope those explicitly during discovery rather than assuming a one-size-fits-all setup.
Have a manual process you're tired of?
Tell us what your team does by hand today and we'll map out an honest scope, timeline, and quote — free of cost.