MagLab / What we do / AI

AI and digitalisation

We put AI on your documents and data: ask in plain words - get the answer with its source.

AI reads documents, emails and requests. Knowledge bases that answer questions.

When you need it

  1. 01Legal

    Thousands of contracts, and finding one clause takes a whole day

    AI finds it in seconds and shows the source.

  2. 02Knowledge

    Everything we know is in files and in people's heads

    A knowledge base that answers questions.

  3. 03Emails

    Data from emails is copied over by hand

    AI reads the emails and fills in the system itself.

What we do

AI where it saves time or money.

01

We read

AI goes through every document, email and request and pulls out what matters.

02

We connect

Similar ideas merge, and everything is linked into one graph with search by meaning.

03

We answer

Ask in plain words - get the answer and the document it comes from.

A spiral of documents around an amber knowledge core, one document lit up

ExampleProject

A knowledge graph: you ask a question - you get the answer and its source

In an open EleutherAI community project, the pipeline read thousands of papers and linked them into a graph with search by meaning: in an evening instead of a month.

Where we start

With a 2-week assessment: we go through the money and the processes, where the business loses money and time, what to do first and what it costs.

Technologies we work with

We choose them for the task: cloud, data, AI and systems under load.

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Snowflake
  • Databricks
  • OpenAI
  • Anthropic
  • Apache Spark
  • Apache Kafka
  • Kubernetes
  • PostgreSQL
  • Cloudflare

Let's grow together

Tell us what eats your time and money. We reply within a working day and suggest a time for a call.

The first conversation is 30 minutes, free, and you talk to an engineer, not a salesperson. Email: hello@maglab.app

Who you will talk to

Gleb Maksimov, founder of MagLab. Eight years in data, ML and high-load systems: startups, research labs, corporations. LinkedIn