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AI products and research, engineered in Chennai

Our own business software, AI systems built for clients, and the hardware they run on, tested in our lab first.

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A white robot with a glass head and a glowing AI core uses its hand to build a small house from building bricks at a workbench
Registered LLP
21 Nov 2024
LLPIN
ACK-4469
Lab
Chennai, India
Lab tracks
6 active
Clients in
India, UK

Products we build and run

Software we design, host and support ourselves. Each one is shown in a demo before you buy.

Beta

Fint

Invoicing, expenses, banking and GST for Indian businesses, where AI drafts records and a person confirms them.

 Live

Desk

CRM and project management in one login for small and mid-size teams that sell, then deliver.

 Beta

Cybe Social

A social media scheduler: one post, sent to every connected LinkedIn, Facebook, Instagram and YouTube account.

 Product and service

WhatsApp CRM

WhatsApp CRM for sales teams: each enquiry becomes a lead, assigned to a rep and followed up.

Three ways to work with us

One engineering team runs all three, so what the lab measures goes straight into the products and client builds.

Use a product

Invoicing and GST, CRM, social scheduling and WhatsApp automation, set up with a guided demo.

Commission a system

AI agents, document AI, automation and private LLMs, built to your process and handed over.

Follow the research

Six lab tracks, each with a written question, test rig and scoring method.

Private AI on hardware you own

Open-weight models on your servers, wired to your documents and tools.

Fig. 01 Models served from racks the client owns

Llama, Qwen or Mistral on your own servers. Prompts, files and answers stay inside your network.

Read more about private AI

We install open-weight language models such as Llama, Qwen and Mistral on hardware you control, connect them to your documents and tools, and hand over a system your IT team can run. Prompts, files and answers stay inside your network, which matters for data covered by the DPDP Act 2023 or UK GDPR.

  1. 01 Size the hardware

    GPU memory follows model size, quantization and context length. See the VRAM calculator.

  2. 02 Choose and test a model

    Licence first, then language and task fit, scored on your own material.

  3. 03 Install, connect, hand over

    Hardened on your servers, piloted with one team, documented.

Private AI deploymentGPU servers and AI hardware

In the lab now

Open research tracks, each with a written question, a fixed test rig and a scoring method set before any result is published.

Fig. 02 GPU test bench used for sizing and benchmarks

Teams we have built for

Clients who have agreed to be named.

What clients wrote

Quoted word for word from our Google Business Profile.

We recently worked with the Cyberfreeze team to create an AI chatbot for Smart Tech Insurance Brokers. Right from the beginning, the team was very supportive and professional, and they delivered the project within the promised timeline.
Vinoth J, Google review (excerpt)Read the case study
Sai Dharshan and his team did a fantastic job creating our Lets Smile Dental Clinic website. The design is clean, user-friendly, and perfectly represents our clinic. Highly professional, responsive, and reliable. I’m very happy with the results and highly recommend them!
Mohana Priya, Google reviewRead the case study

All reviews on Google

Industries

The sectors we build for, the rules each one works under, and what we would automate first.