Hyde turns proprietary enterprise data into specialist AI that learns, works, and improves in production. This matters because the companies that own their intelligence will outperform the ones that rent it.
In the next era of AI, the ultimate winners won’t be companies that rent general intelligence. It’ll be the ones who escape it that gain an asymmetric advantage.
Enterprise AI adoption is quickly becoming table stakes. The default playbook is to rent intelligence from the large AI labs and build heavy scaffolding around it. If every company has access to the same foundational models and those are reaching parity, where will competitive advantage come from?
Think about how much value would never have been created if Toyota operated on textbook production methods and McDonalds on a generic franchise model. Proprietary systems built on institutional knowledge are what drive enterprise alpha, and this is especially true with AI.
When entire industries rely on black box thinking, the market gets flooded with undifferentiated output.
What we’ve built
Over the last year, Hyde has been deep in the engine rooms of the world’s largest companies to transform their operations with AI. Time after time, we’ve seen traditional agent architectures built on generalist models fail to meet the accuracy and scale that real workflows demand. The result is endless scaffolding, guardrails, and human review - translating to wasted dollars and time.
The solve is specialist models that deeply understand an enterprise's domain and can reason through real-world complexity at scale. Labs recognise this and are paying millions to buy domain-specific data and expertise, while enterprises are sitting on it.
Hyde equips enterprises to build specialist models that learn from their business and execute work like their best operators. We encode institutional knowledge using SFT, RL, and human feedback in our post-training and inference platform, made to supercharge operator and data scientist workflows.
Our early customers are pushing their specialist models to production. They’re outperforming the generalist frontier by up to 10x on accuracy, latency, and cost and improving through continuous reinforcement learning on production usage patterns.
The outcomes are tangible:
Hyde-powered AI car dealers at Tata Motors increased digital sales conversion by 4x, translating to $10M in incremental revenue.
Hyde-powered AI compliance analyst agents at a U.S. Stock Exchange are approaching 100% accuracy, every time on SEC workflows.
Every day an enterprise rents intelligence, it gives up compounding advantage. The future belongs to companies that own their intelligence.
Hyde is built by elite technical talent from Palantir, McKinsey, AI labs and hedge funds and our team counts multiple international olympiad medalists, IIT gold medalists, and ICPC world finalists. We’re backed by Bain Capital Ventures and General Catalyst in our mission to build the permanent infrastructure for enterprise alpha.
