↘
Hyde’s training platform and forward deployed model helps institutions leverage their own knowledge to build sovereign AI models.
Intelligence.
YOUR DATA. YOUR WEIGHTS. YOUR SOVEREIGN AI.
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Two Paths to Specialist AI
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2.
ENGAGEMENT MODELS


Training Platform
Hyde’s training runtime plane,
deployable in your cloud or ours.
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Embedded Team
Digital transformation, plugging
the model into your business.
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Campfire
Hyde’s platform
Campfire is Hyde’s platform for training, fine-tuning, and deploying your own specialist models.
01
Infrastructure
02
Training
03
Evals
04
Learning
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.


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
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Come solve the most interesting problems for the world’s most consequential organizations.
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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.
OUR PARTNERS
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.


Post-Training a Sub-1B Voice Model for Hindi and Hinglish
Post-Training a Sub-1B Voice Model for Hindi and Hinglish
SHAIL BAJPAI AND MALIK HAMMAD FAISAL
SHAIL BAJPAI AND MALIK HAMMAD FAISAL
FEBRUARY 6, 2026
FEBRUARY 6, 2026
12 MIN READ
12 MIN READ
Our work post-training a 0.6B model using customer data that outperformed the frontier.
Our work post-training a 0.6B model using customer data that outperformed the frontier.
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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.
BUILT BY THE TOP MINDS
HYDE’S PLATFORM
Campfire
Campfire is Hyde’s platform for training, fine-tuning, and deploying your own specialist models.
01
Infrastructure
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.
+
Campfire can handle infrastructure provisioning across dedicated reserved or shared on-demand GPU capacity.
02
Training
03
Evals
04
Learning
BUILT BY THE TOP MINDS IN AI