Super Intelligence
with Autonomous Agents
Automated full-stack Agentic AI platform for enterprises
Automate your workflows with Autonomous Agents
Automated full-stack Agentic
AI platform for enterprises
Super Intelligence
with Autonomous Agents
Automated full-stack Agentic AI platform for enterprises
Start your AI-first enterprise transition
Start your AI-first
enterprise transition
Automated full-stack Agentic AI platform for enterprises
Automated full-stack Agentic AI platform
for enterprises
Development time, manpower & Cost
AgentBuilder
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A fully automated framework that streamlines model selection, training, deployment, and optimization, significantly reducing time, manpower and cost.
A fully automated framework that streamlines model selection, training, deployment, and optimization, significantly reducing time, manpower and cost.
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Ownership, Control & Security
A Fully Portable
& Automated AI Stack
A Fully Portable & Automated AI Stack
Runs on open-source models & Private or on-premise infrastructure.
Runs on open-source models & Private or
on-premise infrastructure
Operating Costs
ScaleServe
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Cuts operating costs by up to 75%
Cuts operating costs by up to 75%
Cuts operating costs by up to 75%
By efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective and optimized models for a query.
By efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective and optimized models for a query.
Delivers up to 2.4× faster API performance
Delivers up to 2.4× faster API performance
Delivers up to 2.4× faster API performance
Than SGLang when processing 1 million-token prompts, enabling significantly more efficient long-context LLM deployments at a significantly lower cost.
Than SGLang when processing 1 million-token prompts, enabling significantly more efficient long-context LLM deployments at a significantly lower cost.
Than SGLang when processing 1 million-token prompts, enabling significantly more efficient long-context LLM deployments at a significantly lower cost.
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Accuracy of results
Long-Context AI & AI Verifiers
Retrieval-Augmented Planning (RAP)
Retrieval-Augmented Planning (RAP)
Retrieval-Augmented Planning (RAP)
Pulls in external, verified knowledge instead of relying only on the LLM’s memory.
Pulls in external, verified knowledge instead of relying only on the LLM’s memory.
Pulls in external, verified knowledge instead of relying only on the LLM’s memory.
Multi-stage Verification
Multi-stage Verification
Multi-stage Verification
Ensures clarity, correctness, and execution accuracy, while cross-plan validation selects the strongest pipeline.
Ensures clarity, correctness, and execution accuracy, while cross-plan validation selects the strongest pipeline.
Cross-Plan Validation
Cross-Plan Validation
Cross-Plan Validation
Generates multiple candidate pipelines and chooses the best one.
Generates multiple candidate pipelines and chooses the best one.
Performance Feedback
Performance Feedback
Performance Feedback
Performance is continuously optimized based on
real accuracy and loss metrics, not text output.
Performance is continuously optimized based on
real accuracy and loss metrics, not text output.
Performance is continuously optimized based on real accuracy and loss metrics, not text output.
