Knowledge Repository, Agent Framework, and TalkToYourApp each solve a distinct category of enterprise AI problem. They can run independently or together as a layered AI system.
KNOWLEDGE LAYER
Genie — enterprise knowledge retrieval, GraphRAG, multi-source ingestion Knowledge Repository — enterprise knowledge retrieval, GraphRAG, multi-source ingestion
ORCHESTRATION LAYER
Agent Framework — DAG execution, multi-agent, HITL approvals, observability
EXECUTION LAYER
TalkToYourApp — conversational API execution, Swagger tools, audit trails
Three distinct problems. Three distinct platforms. Choose one or combine all three.
Genie Knowledge Repository
USE WHEN...
You need to unlock knowledge trapped in documents, wikis, and enterprise systems - and surface it reliably with citations.
SOLVES
Agent Framework
USE WHEN...
You need to automate multi-step workflows that span tools, APIs, and human decisions - with full observability and control.
SOLVES
Talk To Your App
USE WHEN...
You need users to execute actions on existing systems through natural conversation - without rebuilding those systems.
SOLVES
Enterprise knowledge intelligence.
Deployed in production.
Genie makes enterprise knowledge reliably accessible. It ingests documents across your entire source ecosystem, builds a knowledge graph, and surfaces accurate, cited answers — with RBAC inherited from source systems. Knowledge Repository makes enterprise knowledge reliably accessible. It ingests documents across your entire source ecosystem, builds a knowledge graph, and surfaces accurate, cited answers — with RBAC inherited from source systems.
15+ Source Connectors
Google Drive, SharePoint, Jira, Confluence, Notion, Slack, S3, PostgreSQL, and custom APIs. Incremental sync. RBAC-aware ingestion.
Knowledge Graph (GraphRAG)
Entity extraction and relationship mapping enriches retrieval beyond keyword and semantic search - dramatically improving answer quality for complex queries.
RBAC Inheritance
Access controls are inherited from source systems, not re- implemented. Users only see what they already have access to - no separate permission layer to maintain.
Multi-Layer Data Store
Vector store (PGVector or Pinecone), metadata index, and knowledge graph operate together. Query routing selects the optimal path per query type.
Multi-LLM Routing
Route queries dynamically across OpenAI, Anthropic, Azure OpenAI, and local models. BYO-LLMs supported. Cost and latency optimised per query class.
Evaluation + Observability
Continuous evaluation via RAGAS and DeepEval. Full observability stack. Citation traceability on every answer. Designed for regulated environments.
Deep engineering execution
SaaS (managed) VPC (customer cloud) On-premise Air-gapped
Multi-agent workflow orchestration.
Built for production reliability.
The Agent Framework executes complex, multi-step workflows across agents, tools, and systems — with DAG-based execution, human-in-the-loop approvals, and full audit trails. Every run is observable, retryable, and governed.
DAG Execution Engine
Directed acyclic graph runtime handles branching, parallelism, retries, and conditional execution. Every workflow step is observable and retryable independently.
Multi-Agent Orchestration
Coordinate specialised agents across tasks - each with its own tools, memory, and LLM. Agents communicate through typed contracts, not ad-hoc prompting.
Human-in-the-Loop Approvals
Insert approval checkpoints at any node. Workflows pause, notify, wait for decision, then resume - with full audit of every decision made.
Tool + Connector Layer
Tools are defined as microservices - callable via standard interfaces. Pre-built connectors for Slack, email, databases, and custom APIs. New tools plug in without workflow changes.
Observability + Governance
ClickHouse-backed analytics on every workflow run. Latency, cost, failure rates, and model usage tracked per run, per agent, and per tool call.
Built-in Testing + Guardrails
Test workflows against golden traces. Define guardrails that block unsafe tool calls. Integrate policy engines for compliance-sensitive environments.
Conversational interface for
deterministic system execution.
TalkToYourApp turns any API-driven system into a conversational interface. Users talk to their applications — and the platform executes actions on system-of-record backends, deterministically, with full audit trails.
Swagger/OpenAPI - Tools
Point TalkToYourApp at any API spec. It auto-generates callable tools - no manual coding. New APIs integrate in minutes.
Deterministic Execution
Natural language is translated into structured, validated API calls. No hallucinated actions. Every execution is schema-validated before firing.
Multi-Channel Deployment
Deploy across WhatsApp, web widget, mobile app, or embedded in existing interfaces. Single integration, multiple surfaces.
Approval Flows + Guardrails
Sensitive operations trigger confirmation steps. Policy gates block disallowed actions. Maintain a full audit trail of prompts, retrieved context, actions, and approvals.
Low-Bandwidth & Multilingual
Optimised for low-connectivity environments. Bhashini ASR/TTS for Indian languages. Designed for population-scale deployment.
System-of-Record Execution
TalkToYourApp writes to real systems - CRMs, ERPs, databases. No read-only conversational layer. Real actions, with confirmation and audit.
All three platforms support cloud, VPC, on-premise, and air-gapped deployment. No mandatory SaaS subscription. No lock-in. Commercial terms are per engagement.
SaaS
Managed, always up-to-date
VPC
Your cloud, our deployment
On-premise
Full infrastructure control
Air-gapped
No external connectivity required
Ready to build?
From prototype to production. From platform to population scale.
