AI Capabilities We Can Build Into Your Product
Four capabilities Pintarin designs, builds and runs as part of your product, from the first feature through to keeping it working after release.
AI Solution Development
AI features designed and built directly into your product, not as a separate application.
Problem
Product teams see the opening for an AI feature often enough, but building it calls for skills the team does not have and cannot justify hiring for one feature.
What Pintarin Does
Pintarin designs and builds the AI feature inside your product: choosing an approach proportionate to the problem, wiring it into the codebase and data already running, and carrying it through to release.
Example Use Cases
- Candidate analysis
- Intelligent recommendation
- Business scoring
- Document analysis
- Classification
- Decision support
- AI-powered internal applications
- Intelligent business tools
Business Benefit
The feature reaches users without you adding permanent headcount, and the code is left in a state your own team can carry on with.
AI Agents & Workflow Automation
Agents that work through steps inside your product, and know when to hand back to a person.
Problem
Some of the work inside a product still has users repeating the same steps every day, and adding people is not the answer.
What Pintarin Does
Pintarin builds agents that read, decide, call other systems, then stop and ask for a human decision when the call is a heavy one.
Example Use Cases
- Recruitment workflow
- Document verification
- Proposal evaluation
- Procurement workflow
- Finance document processing
- Operational assistant
- Internal approval support
- Repetitive administrative processes
Business Benefit
Repetitive work finishes faster without taking the person out of the step that genuinely needs judgement.
Enterprise Knowledge AI
AI that answers from your users own documents, pointing back to where the answer came from.
Problem
Your users store documents whose contents they can never find again quickly at the moment they need them.
What Pintarin Does
Pintarin builds the layer that reads those documents and answers questions from their contents, citing the passage each answer rests on.
Example Use Cases
- HR policy assistant
- SOP assistant
- Internal knowledge assistant
- Customer support knowledge
- Technical documentation assistant
- Sales knowledge assistant
- Compliance knowledge assistant
Business Benefit
Content that was only ever stored becomes a feature people use, and every answer can be traced back when it is questioned.
Managed AI Services
Keeping your AI feature accurate, under control, and predictable in cost after release.
Problem
An AI feature is not finished at release. Data shifts, providers update their models, and answer quality degrades with nobody telling you.
What Pintarin Does
Pintarin watches output quality, measures it regularly against an agreed set of examples, keeps usage cost in hand, and corrects it when results drift.
Example Use Cases
- AI usage management
- Performance monitoring
- Continuous improvement
- Cost monitoring
- AI model management
- Application support
- Maintenance
- Scaling support
Business Benefit
A released feature stays trustworthy, and its cost stays visible before it turns into a surprise.
This page sets out how we work. To see the kinds of AI feature that can go into your product, see the Solutions page.