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Rachnova Intelligence

AI features that know your business and earn trust.

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What is Applied AI?

Applied AI is Rachnova’s AI solutions service. We build assistants, knowledge search, document processing and AI features inside your products, grounded in your own data and tested for accuracy before they reach customers or staff.

Ideal for

  • Teams drowning in documents or repetitive questions
  • Products that need an AI feature customers will trust
  • Leaders who want a measured AI pilot, not a demo

What we deliver

Everything Applied AI covers.

Knowledge assistants

Chat and search over your documents, policies and product data.

Document AI

Extract, classify and check data from invoices, contracts and forms.

AI in your product

Summaries, recommendations and natural-language features for your users.

Customer support AI

Answer common questions and hand off to people with full context.

Evaluation and guardrails

Test sets, accuracy scoring, safety filters and audit logs.

Data readiness

Clean, connected and permissioned data the AI can safely use.

How it works

Four steps, visible progress every week.

  1. 01

    Find the use case

    Rank ideas by value and feasibility in a one-week workshop.

  2. 02

    Pilot

    A working prototype on your real data in three to six weeks.

  3. 03

    Evaluate

    Measure accuracy against a test set before anyone relies on it.

  4. 04

    Productionize

    Security, monitoring, cost controls and rollout to users.

Typical stack

  • Claude
  • OpenAI
  • RAG pipelines
  • Vector search
  • Python
  • TypeScript
  • Postgres + pgvector

FAQ

Applied AI questions.

Will the AI make things up?

We design against it. Answers are grounded in your own sources with citations, and every system is scored against a test set of real questions before launch and monitored after.

Is our data used to train AI models?

No. We use providers and settings that don’t train on your data, keep data in your cloud where possible, and apply your existing access permissions.

How quickly can we see results?

A pilot on your real data usually takes 3 to 6 weeks, with a go or no-go decision based on measured accuracy and value.