Our Technology
Pioneering AGI research and development to create truly intelligent systems with real-world applications.
The Alchemist Platform

Core Meta-Engine
Alchemist is Olbrain's revolutionary recursive meta-engine for autonomous agent creation. It represents a paradigm shift in AGI development—a system designed to generate, evaluate, and continuously refine specialized AI agents that can work independently or in coordinated teams.
Unlike conventional AI platforms that rely on general-purpose models, Alchemist builds purpose-specific intelligent systems optimized for clearly defined objectives.
Key Components
Core Objective Function (CoF)
The heart of every Alchemist-built agent is its CoF—a mathematically specified goal that defines the agent's purpose. Unlike vague AI "alignment" approaches, our CoF framework provides precise optimization targets that are measurable and verifiable.
Specialized LLMs (sLLMs)
For each agent, Alchemist creates a specialized Language Learning Model optimized for a specific domain and function. These sLLMs concentrate all their capacity on relevant knowledge and reasoning patterns, enabling breakthrough performance without massive computational requirements.
Multi-Agent Orchestration
Alchemist enables teams of specialized agents to collaborate on complex tasks. Each agent contributes its unique capabilities while a meta-coordination layer ensures coherent collective behavior towards shared objectives.
Adaptive Learning System
Agents continuously evolve through real-world interaction. Our reinforcement learning architecture allows agents to improve their reasoning, expand their capabilities, and refine their models of the world through both successes and failures.
Superagent Architecture

Our Superagent architecture combines specialized language models with reasoning engines, tool integration, and environment perception to create autonomous systems that can intelligently operate in the real world.
Our Technological Advantages
Indian Context Awareness
Our models are built with deep understanding of Indian languages, cultural nuances, and regional contexts that global systems often miss.
Efficiency-First Design
Our specialized models achieve superior performance with significantly lower compute requirements than general-purpose alternatives.
Data Sovereignty
Our systems are designed for on-premises deployment, keeping sensitive data within organizational boundaries and meeting Indian regulatory requirements.
Active Research Areas
Neurosymbolic Reasoning
Combining neural networks with symbolic logic to create more explainable and trustworthy AI systems that can reason with both learned patterns and explicit rules.
Multimodal Indian Language Understanding
Developing AI systems that can understand and generate content across text, speech, and visual modalities in India's diverse languages, with special attention to code-switching and cultural contexts.
Cognitive Architectures for AGI
Investigating brain-inspired computational frameworks that integrate perception, attention, memory, reasoning, and decision-making into cohesive intelligent systems.
Research Publications
Explore our team's contributions to the academic field of artificial intelligence and cognitive science.
View Our Research PapersExperience Our Technology
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