Our Products

ExemChat: A multimodal, multi LLM chatbot platform

Give your users answers that feel human and your teams superpowers. Our platform blends multiple leading large language models with rich multimodal understanding—text, voice, images, and documents—so every conversation meets the moment. Fully customizable to your brand, workflows, and compliance needs.

Core Capabilities
Multimodal By Design

Understands and responds to text, voice, images, and files.

Web Search

Search the internet and retrieve relevant information to enhance your conversations.

Multi LLM Orchestration

Choose best in class models for accuracy, cost, and speed.

Model Context Protocol (MCP)

Connect AI models to any tool or service through a standardized protocol

Tailored To You

Understands and responds to text, voice, images, and files.

Seamless User Experience

Our platform mirrors the intuitive interface of leading Chat platforms, ensuring that users feel comfortable and familiar while navigating.

Enterprise Ready

Security, governance, analytics, and human in the loop baked in.

Export Conversations

Export chats as screenshots, text, JASON etc.

Custom Assistants

Build specialized AI-driven helpers that work with any supported model—no coding required.

Customization

We can configure our platform to your specific needs with extensive customization capabilities, ensuring personalized user experience.

Implementation In Three Steps

AltLM: Multi LLM platform for developers

Ship AI features faster—with the freedom to choose the right model for every task. Our unified API orchestrates multiple LLMs from Azure OpenAI, Amazon Bedrock and Google, while giving you enterprise grade chargeback, security, and scalability.

Core Capabilities
Multi LLM integration

Have your developers access your preferred LLMs in a secure way and never worry about scalability.

Chargeback

Accurately charge your teams for their LLMs usage every month. Set budgets on users and teams.

Developer friendly

Clean SDKs, prompt/versioning, evals, and deep observability.

Ensure clients aren’t impacted when an LLM has an outage

Fallback across providers, in case of outages.

Logging Support

Support for Langfuse, OpenTelemetry etc.

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