Data Extraction built by end-to-end engineers
Extract structured data from PDFs, images, web pages, and emails at scale with AI and vision models.
What AI Data Extraction Automation looks like with us
Our Data Extraction work is led by senior engineers with 8+ years of production experience — no bait-and-switch staffing. Each project has a named lead engineer, a delivery lead, and a weekly written status so there are no surprises. We structure work around your existing engineering cadence — Slack or Teams channel, weekly demos, shared backlog. If you're evaluating partners, start with a 30-minute discovery call — a senior engineer will join, not a sales rep.
- 01Production SLAs — not a POC that collapses under real traffic
- 02Integrations with your existing systems (CRMs, ERPs, ticketing, data warehouses)
- 03Cost dashboards so you can see token/inference spend against ROI
- 04Re-training / prompt-tuning workflows documented for your team to own post-launch
- 05End-to-end automation: design, data pipelines, evaluation harness, deployment, observability
How teams use this
Replace a manual process currently consuming 20+ hours/week of team time
Add AI to an existing product feature without rebuilding the whole workflow
Stand up a greenfield automation that your internal team will own post-handover
100+ companiesquietlyrunonsystemswebuilt.
Common questions
How do you measure success?
Every automation project has 2-3 written KPIs baked into the SoW — for example, time saved per case, containment rate, cost per transaction. We report against them weekly.
What about hallucinations and accuracy?
Every production LLM feature ships with an evaluation harness and confidence thresholds. Low-confidence outputs route to human review. We quote accuracy numbers against labelled samples, not vibes.
Who owns the IP?
You do. All code, documentation, model weights, and deliverables are assigned to you on payment. Our master service agreement spells this out explicitly.
Do you sign NDAs before a scoping call?
Yes — standard practice. We circulate a mutual NDA before any detailed conversation about your product, data, or roadmap.
Whatpeople who shipped with ussayafterwards.
Telluswhatyouwanttoautomate.We'llreplyinonebusinessday.
Describe the problem, the constraint, the deadline. We'll send back a scoped plan and a senior engineer to kick it off — no sales theater.