AI search and RAG over your knowledge base
We build search and answers over your company knowledge base, documents and internal data — grounded in your sources, not in the model's imagination.
- 7+projects in production
- 100%code and access yours
What’s included
The parts the work is made of — and where to read more about related formats.
01
Source preparation
Documents, knowledge bases, policies and product data. We spell this out so the result is usable for an estimate, build or handover without guesswork.
- 01Documents
- 02Knowledge base
- 03Catalogue
- 04Cleaning and labelling
Who it’s for
- 01
Companies with extensive internal documentation
- 02
Support teams that need fast, accurate answers
- 03
Products where users search through large amounts of content
TIVONIX projects on this topic
Real products from the project catalogue, with what was actually built in them.
Tell us the task — we’ll outline scope, timeline and cost
The brief takes a few minutes. We reply with the next step, risks, timeline and a cost range.
How the work goes
Stage 1
Scenario and data
What task AI solves and on which data.
- Task and quality criteria
- Data sources and access
- Cost limits
- What stays with a human
Stage 2
Prototype and validation
The approach is tested on real data before integration.
- Model and approach
- Prompts and tools
- Tests on real examples
- Quality and cost assessment
Stage 3
Integration into the product
AI is built into the system with permissions and control.
- Server-side integration, keys on the server
- Access rights
- Fallback path on failure
- Action log
Stage 4
Launch and control
Quality and costs are watched after launch.
- Quality and cost monitoring
- Improvements from real requests
- Documentation
- Access stays with you
Why TIVONIX
- 01
One owner of the result
The work is led by the TIVONIX founder: responsibility isn’t spread across contractors and decisions are made quickly.
- 02
AI as part of the product
Keys on the server, checks, a fallback path and cost control — AI works inside the system, not as a separate demo.
- 03
Code and access stay with you
Source code, access, environment settings and instructions are handed to the client. The project isn’t locked to us.
- 04
Built in working parts
We show working parts of the system, not pictures: interface, server side, admin panel and integrations.
More in AI & Automation
- AI Features in Your ProductAI built into the product: generation, classification, analysis, recommendations and smart flows.
- AI AgentsAI agents that work with data, documents, customers and internal processes.
- Business Process AutomationWe automate manual work across CRM, APIs, Telegram, internal systems and third-party services.
- AI IntegrationsOpenAI and other AI providers behind a secure server architecture with cost control and fallbacks.
FAQ
Which data can be connected?
Documents, knowledge bases, catalogues and exports from systems. Format and volume are reviewed at the start.
What if the sources have no answer?
The system should say it didn’t find an answer instead of inventing one. That’s set during configuration.
Which AI models do you work with?
We choose for the task: OpenAI, Anthropic Claude, Google Gemini and other providers. Keys and calls stay on the server, with a fallback if a provider fails.
How is the cost formed?
It depends on scope: how many roles, screens and scenarios, which integrations and launch requirements, and what already exists. Scope and price are fixed in writing after reviewing the task — before work starts.
How long does it take?
It depends on scope and on what already exists. We name the timeline after reviewing the task and split the work into stages with intermediate results, so you see progress instead of waiting for the end.
What do you need to get started?
A short description of the product and users, the task, and whatever exists already: designs, code, documents, access. That’s enough for a brief — we reply with the next step, risks, timeline and a cost range.
Which industries do you work with?
SaaS, fintech, e-commerce and internal systems. Launched projects include a booking marketplace, an AI commerce platform, a music fintech platform and a partner dashboard.
Who keeps the code and access?
You do. Source code, access and clear documentation are handed over to the client.
