Nexorc
SAI agents and knowledge assistants

Assistants that answer from your own documents and show the source, and agents that do the work with a person approving what matters.

An assistant that reads your policies, manuals and records and answers from them, showing where each answer came from. An agent that goes further and does the work: drafts the email, opens the record, files the document, with a person approving anything that can't be undone.

Start a conversation
01What it covers

What’s included.

  • 01

    Assistants over your own documents

    Policies, manuals, contracts and registers turned into answers, with the clause or page each one came from.

  • 02

    Agents that act, with approval

    Agents that draft, file and update inside your systems, and stop for a person before anything that matters goes out.

  • 03

    Guardrails and compliance

    Assistants that stay on topic, refuse to advise where advice is regulated, and keep personal data out of places it shouldn't go.

  • 04

    Document reading at scale

    Long, structured documents read with their headings and tables intact, so a schedule of limits is answered as one table, not loose fragments.

  • 05

    Built-in guides for your systems

    An assistant that knows your system's manual and teaches a new operator step by step.

  • 06

    Evaluation and monitoring

    Every question, answer and source kept, so quality can be measured and a bad answer traced to its cause.

02How it runs

What an engagement looks like

We start with the material and the people who use it. Then the stages are built as separate parts — read, find, check, answer — so a wrong answer can be traced to one stage and fixed there. Every answer is checked against what was found before it is shown, and the system says “I don't know” when the material doesn't cover the question.

You end up withAnswers your team can check, actions that wait for approval, and a record of every step.

Technologies we use for this

  • OpenAI
  • Google Gemini
  • Cohere
  • LangGraph
  • LangChain
  • Model Context Protocol
  • Qdrant
  • pgvector
  • Python
  • FastAPI
Everything we work with
  1. 01

    Listen

    Every business has its own dialect: its documents, its shorthand, the way work passes between people. We learn yours before we build anything.

  2. 02

    Learn

    We build systems that remember what your business knows and answer from it, show the source, and say “I don’t know” when the answer isn’t there.

  3. 03

    Build

    The AI, the software and the systems around them hand work to each other cleanly, each part with one clear job, like a pod.

  4. 04

    Hand off

    We teach your team to run what we built, and we hand it over, so the knowledge lives with your people and not with us.

03The work

Work behind it

Case study
Case study · Delivered

A policy assistant that explains cover from the wording, and never advises

An assistant for business-pack insurance that answers only from the approved policy document, shows the clause it relied on, refuses to recommend, and keeps a record of every answer for audit.

04Questions

Questions people ask.

How do we know an answer is right?

Every answer shows the passage it came from, so it can be checked. Before an answer is shown, the system checks that what it found actually covers the question; if it doesn't, it says so instead of guessing.

Can an agent send emails or change records on its own?

Only what you allow. Anything that can't be undone — sending, deleting, changing a client's record — waits for a person to approve it, and the approval is logged.

What if AI isn't the right answer?

Then we say so. If plain software, a better process or nothing at all is the right call, that is what you will hear.

06Contact

Tell us what you need.

An AI agent, a system, a process to automate, or something you can't name yet. You'll get a real reply from the person who'd do the work, not a sales sequence.