AI document processing
Turn stacks of unstructured documents into clean, structured data your team can act on.
Document processing that pays for itself in weeks.
We build AI systems that unlock the insights trapped in your documents — turning days of manual review into minutes. A transparent process: we scope the work with you, agree the outcome and the price before we start, and tell you the moment anything threatens the estimate. Working prototype on your data in 2–4 weeks.
- ~15 min — full tender audit
- up to 98% — extraction accuracy
- 2–4 weeks — to a working prototype
The challenge
Your documents are full of value you can't reach.
For small and mid-size companies, agencies, and startups across the EU and US, the information that runs the business is locked inside documents — tenders, invoices, filings, contracts. Every one gets read, checked, and re-keyed by hand.
That manual review is paid time, and it scales with your workload, not with your revenue. The bigger you get, the more of it you buy.
Why now. AI has crossed the threshold where this work can be automated reliably — and your competitors are already doing it. Every month of reviewing documents by hand is a cost you don't get back.
What we do
AI systems built around one outcome: less manual work.
Tender & RFP analysis
A full requirements audit and a clear go/no-go read — before you sink days into a bid.
Private AI (private LLM)
Run capable AI on your own infrastructure — your data never leaves your network.
AI proof-of-concept
See a working prototype on your own data in 2–4 weeks, with a plan to scale it.
Legacy migration
Move off aging systems without a risky big-bang rewrite — incremental, tested, safe.
Not sure where AI fits? Let's look at your documents together.
Show me on my dataFrom our work
Results we've delivered.
Tender & RFP analysis · Ireland
Tender analysis in minutes
- Challenge
- A growing volume of complex tenders, each buried in dozens of attachments, reviewed by hand over days.
- Solution
- An AI analysis system that reads the full document set and produces a structured requirements audit.
- Result
- From days of manual review to minutes — a full audit in ~15 minutes (typically 5–20, depending on document size).
Financial-statement extraction
SEC filings, structured automatically
- Challenge
- SEC 10-K/10-Q filings whose figures had to be pulled out by hand across every statement type.
- Solution
- An extraction pipeline covering all five SEC statement types, with Excel export.
- Result
- Up to 98% extraction accuracy across all five statement types.
Market-intelligence platform
A platform in production for over a decade
- Challenge
- A global agri-commodity market needed reliable, real-time price and futures intelligence.
- Solution
- A market-intelligence platform with futures, USDA, and cash-price pipelines and a data API.
- Result
- In production since 2013, used by 10,000+ companies (per AgroChart).
From our R&D: 918+ tests written and under 1% budget overrun — measured on the R&D projects we run before we bring a method to client work.
How we work
From first call to a system in production.
Intro call → Discovery → PoC → MVP → Production → Support
Every stage is a real exit point — you can stop after any stage and keep what was produced.
- 01
Intro call
30–60 minutes on your situation, not our pitch. If it is not a fit, we say so.
- 02
Discovery
Paid and time-boxed: requirements, goals, context, constraints, architecture — the full artefact package, yours to keep.
- 03
PoC
The smallest slice that proves the risky assumption on your data.
- 04
MVP
The narrow first version a real user can use — scope agreed at Discovery.
- 05
Production
Hardening, integrations, security, performance, rollout.
- 06
Support
Ongoing maintenance, monitoring, iteration — reserved monthly days.
The full pipeline, stage by stage →
Pick the engagement that fits the job
Fixed scope
For well-defined tasks — a prototype, an audit, one pipeline. We agree on the outcome upfront, estimate each feature, and do our best to stay within 20% of the estimate.
Discovery first
For bigger or fuzzier projects: a paid Discovery (3–5 days, $1,500–3,000, fixed price agreed upfront) → artefacts, plan, and a priced proposal. You keep the artefacts either way.
Dedicated capacity
For ongoing product work: a monthly retainer of reserved days for features and support — how we run our longest engagement today.
Compare
How we stack up.
| Criteria | Cloverity | Freelancers | Agencies | In-house |
|---|---|---|---|---|
| Pricing model | Scoped | Hourly | T&M | Salary |
| AI expertise | Yes | Varies | Some | Some |
| Cost | $$ | $ | $$$ | $$$ |
| Time to start | Fast | Medium | Slow | Slow |
| Flexibility | High | Medium | Low | Low |
| After handover | You can maintain it | Ask the freelancer | Retainer | In your team |
Bring one document type. We'll show you what AI can do with it.
Start a conversationWhy Cloverity
Experience you can check.
- More than 10 years of engineering experience behind every project (Capgemini, Intellias, Lohika, and product startups).
- A system we built has been in production since 2013, used by 10,000+ companies (per AgroChart).
- 918+ tests and under 1% budget overrun on the R&D we run before a method reaches client work; up to 98% extraction accuracy on a delivered pipeline — we measure what we ship.
- Built 7+ working AI products and demos in 2026 alone.
FAQ
Common questions.
What tech stack do you use?
Python/FastAPI for backends, Next.js/React for frontends, PostgreSQL for data, and cloud infrastructure on GCP or AWS. We integrate Claude and other LLMs where they earn their place.
How does pricing work?
We estimate each feature upfront and do our best to stay within 20% of the estimate. For larger or fuzzier projects we start with a paid discovery phase, then estimate the build once the scope is clear.
What industries do you work with?
Deep experience in Agritech, Healthcare, and Automotive. We also work with fintech and SaaS companies.
How do you handle communication?
Regular updates and demos, with direct access to the engineers doing the work via Slack or email. No middlemen.
Can you work with our existing team?
Yes. We integrate with your team using your tools and processes, and hand over cleanly when the work is done.
Contact
Let's look at your documents.
Tell us the one document type that eats the most of your team's time. We'll come back with what AI can do with it — on your data.
What happens next
Prefer email? hello@cloverity.co