Modern architecture. Smarter workflows. Technology that grows with your business.

Modern architecture.
Smarter workflows. Technology that grows with your business.

Modern architecture. Smarter workflows. Technology that grows with your business.

Technologies

Technologies

Technologies

Key Technology
Key Technology

AutoAIOps

AutoAIOps

An innovative, automated AgentOps framework designed to help enterprises significantly reduce proof-of-concept (POC) timelines and costs, while ensuring seamless scalability at an optimized cost.

An innovative, automated AgentOps framework designed to help enterprises significantly reduce proof-of-concept (POC) timelines and costs, while ensuring seamless scalability at an optimized cost.

AutoAIOps
AutoAIOps

AgentBuilder

AgentBuilder

Secure and Proprietary AI
Secure and Proprietary AI

Can be built with open-source models, ensuring full ownership and control

Can be built with open-source models, ensuring full ownership and control

Runs on-premise or on private clouds, ensuring no data leakage

Runs on-premise or on private clouds, ensuring no data leakage

Seamless Integration with Enterprise Tools with MCP support
Seamless Integration with Enterprise Tools with MCP support

Supports the integration of existing enterprise softwares whether proprietary or commercial.

Supports the integration of existing enterprise softwares whether proprietary or commercial.

Minimized Human Effort
Minimized Human Effort

Turns natural language instructions into agentic AI systems with auto-selected tools and optimized prompts.

Turns natural language instructions into agentic AI systems with auto-selected tools and optimized prompts.

Query & Prompt Optimizer

Query & Prompt Optimizer

AutoAgentBuilder

AutoAgentBuilder

Long-Document Handling
Long-Document Handling

Handles multiple 1000+ page documents to answer questions requiring global context, beyond RAG’s keyword-level search

Handles multiple 1000+ page documents to answer questions requiring global context, beyond RAG’s keyword-level search

Accurate Multimodal Agentic RAG
Accurate Multimodal Agentic RAG

Can generate initial agents from natural language problem descriptions .

Can generate initial agents from natural language problem descriptions .

Verifiable AI
Verifiable AI

AI verifiers ensure that all necessary steps are completed and the generated outputs are accurate & factual, incorporating human feedback.

AI verifiers ensure that all necessary steps are completed and the generated outputs are accurate & factual, incorporating human feedback.

Agentic AI

Agentic AI

Structured Planning & Verification
Structured Planning & Verification

Agentic AIs for complex workflows are prone to compounding errors.

Agentic AIs for complex workflows are prone to compounding errors.

We ensure error-free execution through structured planning and rigorous verification.

We ensure error-free execution through structured planning and rigorous verification.

Efficient and Cost-effective Agentic Inference
Efficient and Cost-effective Agentic Inference

We significantly reduce the cost of running AI agents by

We significantly reduce the cost of running AI agents by

Using tool-augmented small LMs

Using tool-augmented small LMs

Performing compact reasoning

Performing compact reasoning

Accelerating AI inference with ScaleServe

Accelerating AI inference with ScaleServe

AutoAIOps
AutoAIOps

ScaleServe

ScaleServe

ScaleServe, our production-ready platform, cuts operating costs by efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective models.

ScaleServe, our production-ready platform, cuts operating costs by efficiently serving AI models, enabling them to handle millions of input tokens, while routing queries to the most cost-effective models.

ScaleServe 1.1
Query Router
Query Router

Query Router is a cost-saving solution that cuts API expenses by up to 90% for users of external language models (like GPT-4 or Claude-3.5) without sacrificing response quality. It uses efficient open-source and domain-specific models (e.g., LLaMa-3.1 8B, AdaptLLM-Law) and supports custom routing model training.

Powered by a patented algorithm from DeepAuto.ai, Query Router predicts the best model for each query using a cross-modal latent space, ensuring optimal performance and efficiency.

Query Router is a cost-saving solution that cuts API expenses by up to 90% for users of external language models (like GPT-4 or Claude-3.5) without sacrificing response quality. It uses efficient open-source and domain-specific models (e.g., LLaMa-3.1 8B, AdaptLLM-Law) and supports custom routing model training.

Powered by a patented algorithm from DeepAuto.ai, Query Router predicts the best model for each query using a cross-modal latent space, ensuring optimal performance and efficiency.

ScaleServe 1.2
LongContext AI
LongContext AI

Our Long-context AI framework that can handle millions of input tokens are useful for long-document understanding for various domains, retrieval augmented generation, as well as multimodal understanding.

Our Long-context AI framework that can handle millions of input tokens are useful for long-document understanding for various domains, retrieval augmented generation, as well as multimodal understanding.

ScaleServe 1.3
ScaleServe 1.3
Long-Video understanding with LongContext AI
Long-Video understanding with LongContext AI

Our VideoRAG system, powered by LongContext AI, offers a 125X longer context window than base open-source model, and surpasses Gemini-Pro and GPT-4o in video understanding tasks.

Our VideoRAG system, powered by LongContext AI, offers a 125X longer context window than base open-source model, and surpasses Gemini-Pro and GPT-4o in video understanding tasks.

AutoAIOps
AutoAIOps

AutoEvolve

AutoEvolve

Our AutoEvolve system enhances large language models by refining their weights, improving performance without the need for traditional gradient-based training.

Our AutoEvolve system enhances large language models by refining their weights, improving performance without the need for traditional gradient-based training.