↘
Hyde’s training platform and forward deployed model helps institutions leverage their own knowledge to build custom AI models.
Intelligence.
Your model. your weights. your advantage.
Stop Renting
our partners
Two Paths to Specialist AI
1.
2.
ENGAGEMENT MODELS


Training Platform
Hyde’s training runtime plane,
deployable in your cloud or ours.
Talk to an engineer ↗


Embedded Team
Digital transformation, plugging
the model into your business.
book a demo ↗
hyde’s platform
Campfire ships as a CLI-tool that plugs into your existing cloud infrastructure and works with all major data-lake platforms.
For teams that want to forget about DevOps, Campfire can handle infrastructure provisioning across dedicated reserved or shared on-demand GPU capacity.
Campfire lets you evaluate and track every single training checkpoint run against both public and custom benchmarks.
Campfire ships with built in support for A/B testing and easy rollbacks, enabling you to deploy models with confidence.
Campfire lets you build your evaluation environments from your own tasks to allow models to reflect what accuracy means for your company.
Campfire lets you automate the full arc of model training and deployment through a guided dashboard or a single command.
Campfire excels at ingesting data from production
deployments to improve benchmarks and re-train models.
Your model becomes a continually improving asset, enabling you to widen the gap between your specialist models and off-the-shelf APIs.
//
//
//
//
//
//
//
//
Your Cloud or Hyde's Cloud: You Choose
Eval-Based Deployment
Automate The Full Training Arc
Continual Learning Made Possible




+ ephemeral environment
+ infrastructure provisioning
+ evaluate and track training
+ ships with built in support for A/B testing
+ custom evaluation environments
+ full arc of model training
+ ingesting data from production deployments
+ continually improving asset
Campfire is Hyde’s platform for training, fine-tuning, and deploying your own specialist models.
Campfire

Financial Services
Legacy Data Governance
Data Privacy Markings
Compliance
A major national US stock exchange encoded its SEC regulatory expertise into a specialist model. The model now answers complex queries and completes detailed regulatory workflows with near complete accuracy - work that previously took weeks of analyst time.

Retail & CPG
Customer Simulations
Talk to an engineer ↗
Agentic Demand Forecasting
A $10B+ retail giant used purpose-built time series foundational models (TSFMs) to generate > 7pps in forecast accuracy improvements compared to legacy approaches, enabling higher operating margins.

Defense
Air-Gapped Deployments
Talk to an engineer ↗
Sustainment & Readiness Intelligence
A major government agency is working with Hyde to deploy specialist AI models on-premise in an air-gapped deployment, giving end users sovereign inference endpoints on reasoning models trained on 30+ years of proprietary data.

AI-Natives
Trace Mining
Auto Model Routing
Talk to an engineer ↗
Eval Generation
Hyde’s Campfire is the training control plane your AI engineers need. Campfire handles every step of the training workflow, from creating evaluations to A/B testing models.
hyde’s reach
The rented-to-specialist model migration, industry by industry.
Industries
built by
the top minds
build with hyde
Come solve the most interesting problems for the world’s most consequential organizations.
Careers
AI Builder - FDE, Research, & Product (NYC)
Blog


Hyde’s Manifesto.
Own your Intelligence
The Great Migration:
Moving beyond the frontier
to owning your intelligence
Anirudh Sanga and Sneha Dhawan
Anirudh Sanga
July 17, 2026
March 31, 2026
5 min read
3 min read
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...
Enterprises deploying AI today are quickly realizing that the future isn't renting a general-purpose frontier model that every competitor can rent. It's owning smaller, specialist models trained on your organization's data...
Hyde's latest updates
Research, engineering notes, and field observations from the work of building models for institutions.
© 2026 Hyde Inc. All rights reserved.
Site
Company
Connect
Certifications
Talk to an engineer

our
partners
Stop
Renting
Intelligence.
Your model. your weights. your advantage.
↘
Hyde’s training platform and forward deployed model helps institutions leverage their own knowledge to build custom AI models.
ENGAGEMENT MODELS
Two Paths to
Specialist AI


Training Platform
Training Platform
Hyde’s training runtime plane,
deployable in your cloud or ours.
Talk to an engineer ↗


Embedded Team
Digital transformation, plugging
the model into your business.
book a demo ↗
Campfire is Hyde’s platform for training, fine-tuning, and deploying your own specialist models.


Your Cloud or Hyde’s Cloud: You Choose
Campfire ships as a CLI-tool that plugs into your existing cloud infrastructure and works with all major data-lake platforms.
For teams that want to forget about DevOps, Campfire can handle infrastructure provisioning across dedicated reserved or shared on-demand GPU capacity.
//
//


Automate The Full Training Arc
Campfire lets you build your evaluation environments from your own tasks to allow models to reflect what accuracy means for your company.
Campfire lets you automate the full arc of model training and deployment through a guided dashboard or a single command.
//
//


Eval-Based Deployment
Campfire lets you evaluate and track every single training checkpoint run against both public and custom benchmarks.
Campfire ships with built in support for A/B testing and easy rollbacks, enabling you to deploy models with confidence.
//
//


Continual Learning Made Possible
Campfire excels at ingesting data from production
deployments to improve benchmarks and re-train models.
Your model becomes a continually improving asset, enabling you to widen the gap between your specialist models and off-the-shelf APIs.
//
//
Hyde's Reach
Industries
The rented-to-specialist model migration, industry by industry.

Hyde’s Manifesto.
Own your Intelligence
Anirudh Sanga
March 31, 2026
3 min read
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…
Build with Hyde
Hyde's latest updates
Careers
Blog
Come solve the most interesting problems for the world’s most consequential organizations.
Research, engineering notes, and field observations from the work of building models for institutions.
hyde’s platform
Campfire
On-site
On-site
hybrid
Engineering
New York City
Full time
Engineering
mumbai
Full time
Engineering
london
Full time
© 2026 Hyde Inc. All rights reserved.
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Careers
Blog
Company
X
Connect
TALK TO AN ENGINEER
READ THE BLOG

Financial Services
Legacy Data Governance
Data Privacy Markings
Read the case study ↗
Compliance
A major national US stock exchange encoded its SEC regulatory expertise into a specialist model. The model now answers complex queries and completes detailed regulatory workflows with near complete accuracy - work that previously took weeks of analyst time.

Retail & CPG
Customer Simulations
Talk to an engineer ↗
Agentic Demand Forecasting
A $10B+ retail giant used purpose-built time series foundational models (TSFMs) to generate > 7pps in forecast accuracy improvements compared to legacy approaches, enabling higher operating margins.

Defense
Air-Gapped Deployments
Talk to an engineer ↗
Sustainment & Readiness Intelligence
A major government agency is working with Hyde to deploy specialist AI models on-premise in an air-gapped deployment, giving end users sovereign inference endpoints on reasoning models trained on 30+ years of proprietary data.

AI-Natives
Trace Mining
Auto Model Routing
Talk to an engineer ↗
Eval Generation
Hyde’s Campfire is the training control plane your AI engineers need. Campfire handles every step of the training workflow, from creating evaluations to A/B testing models.
BUILT BY THE TOP MINDS