Own your intelligence

Partnering with enterprises to turn their data and expertise into reasoning engines

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Hyde is the training and inference platform for enterprise specialist models that outperform the frontier

Extract deep institutional context from business operations and package it into custom AI models. Outperform the frontier with private data and integrated post-training and inference loops

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The next era of enterprise AI is small, owned, and highly specialized

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Superior performance

That improves with time.

Superior agent accuracy and contextual understanding

Defensible edge over generalist AI that improves with use

No leakage of your intellectual property or data

Superior scalability

That gets more efficient with time

Up to 10x lower inference cost and latency at scale

Up to 7x lower long term cost of ownership

Zero reliance risk on external model providers

Our partners are generating incredible results

Reasoning

Forecasting

Code

Browser

Voice

Vision

Tata Motors, a $50B global automaker, built reasoning model assets to automate car sales

4x improvement

in sales conversion rate

World's best STT model

across Indic languages

“Hyde has been instrumental in shaping our vision within the customer domain... Their expertise and collaborative approach have been valuable in initiating our early steps in this journey.”

Rajesh Kannan

President & CIO, Tata Motors

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A national US stock exchange built a <10B parameter SEC regulatory analyst model to automate regulatory reporting and open ended regulatory Q&A

Approaching 100% accuracy

in generating SEC reports

$20M+ revenue opportunity

to distribute model as a white-labelled product

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$10B retail player built transformer-based time-series forecasting model to improve demand forecast accuracy

>10pp improvement

in forecast accuracy vs traditional models across 20,000+ SKUs

$2B revenue CPG company built specialist models to identify and action new sales opportunities with field rep feedback and market signals

>5% revenue uplift

in pilot markets

AI race engineer built for F1 simulator and race-weekend analyses to scale the expertise of senior engineers in analyzing terabytes of sensor data

~$1-3M

in direct operational efficiency

~$7-10M

in indirect upside

Complex prop-trading pricing library encoded into specialist model with RL environments built for prop trading firm to make pricing and risk calculations

<1 week

to build codegen agents

10x better performance

than OTS context-based coding assistants

Built by the top minds in AI

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