About Sarvadrik AI — Engineering & Vision

Building the Operating System for Autonomous B2B Intelligence

We founded Sarvadrik AI to solve the brittle chatbot problem. Our platform enables businesses to deploy transparent, multi-agent AI workflows grounded in verified company knowledge with complete operator control.

Sarvadrik AI Research & Engineering Workspace
Sarvadrik AI Engineering HubLive Telemetry Active

Continuous evaluation across multi-LLM latency, precision RAG retrievals, and automated human handoff.

Evaluation ModeAutonomous RAG
Avg Decision Time340ms
120k+
Monthly Agent Runs
+42% this quarter
< 1.2s
P95 End-to-End Latency
Multi-model optimized
99.98%
Platform Uptime SLA
Global edge fallback
4 Engines
Frontier Foundation Models
OpenAI, Claude, Gemini
Sarvadrik AI Leadership reviewing autonomous system metrics

Engineering Leadership

Architecting trustworthy, observable AI infrastructure for high-scale enterprise operations.

The Origin of Sarvadrik AI

Why We Built an Agent Platform Rather Than Another Chatbot

For years, companies were promised that conversational AI would revolutionize customer operations. Instead, businesses were left with brittle rule-based decision trees that infuriated users or black-box wrappers that hallucinated false policies and leaked confidential data.

We created Sarvadrik AI on a simple, non-negotiable principle: Production AI must be observable, controllable, and grounded.

Our platform replaces black-box guessing with structured vector retrieval, verifiable company knowledge, multi-model execution routing, and seamless human-in-the-loop escalation. When an AI agent answers your customer, it cites verified business documentation. When confidence drops, it passes the customer to a real human without losing a single line of context.

Verified Knowledge Grounding

Answers originate strictly from uploaded company documents.

Multi-Model Agnostic Routing

Choose GPT-4o, Claude 3.5 Sonnet, or Gemini 2.0 per agent.

Core Architectural Pillars

Engineered for Mission-Critical Business Workflows

Four fundamental architectural pillars distinguish Sarvadrik AI from superficial AI wrappers.

100% Traceable

Radical Observability

No black boxes. Every agent run exposes its raw latency, token breakdown, prompt template, and tool calls in real-time execution logs.

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Zero Lock-in

Multi-Model Orchestration

Avoid vendor lock-in. Assign GPT-4o-mini for rapid customer FAQs and Claude 3.5 Sonnet for deep technical reasoning or complex contract workflows.

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Enterprise Guardrails

Deterministic Governance

Strict HTTP Origin domain allowlisting, Row-Level Security (RLS) in Supabase, and encrypted credential storage guarantee total tenant isolation.

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Zero Lost Context

Human-in-the-Loop Supremacy

When automated confidence drops below threshold, conversations seamlessly transfer to your human team with complete transcript and lead context.

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Global Operations & Mesh Runtime

High-Availability AI Orchestration Across 28 Edge Regions

Enterprise customer engagements cannot tolerate service interruptions. Sarvadrik AI operates on an intelligent routing mesh that evaluates live inference availability across multiple foundation LLM providers. If an upstream API encounters packet loss or elevated latency, queries automatically failover to standby frontier models in under 200 milliseconds.

Sub-50ms Edge Vector Retrieval
Low-latency embedding similarity caching closest to your end users.
Encrypted Tenant Scoping
Strict Row-Level Security ensuring isolated data silos for all customer records.
Real-Time Performance Telemetry
Monitor token consumption, error classifications, and user resolution metrics.
Sarvadrik AI Network Operations & Multi-Agent Telemetry Center
GLOBAL PIPELINE FLOW: NOMINALP95: 380ms
Platform Evolution

The Journey Towards Dependable Autonomous Software

Milestones in our quest to bring deterministic, enterprise-grade AI execution to real-world teams.

2024

The Architecture Genesis

Founded to solve the brittle chatbot problem. Designed the core multi-agent execution runtime and vector knowledge grounding engine.

2025

Multi-LLM Orchestration & RAG

Introduced vendor-agnostic LLM routing across OpenAI and Anthropic, sub-second vector embeddings, and real-time CRM lead capture.

2026

Autonomous B2B Ecosystem

Expanded to high-frequency live telemetry, domain-whitelisted widget embeds, and full-spectrum enterprise support automation.

Our Principles

What Guides Every Engineering Decision We Make

Helpful over Hyped

We don't sell speculative sci-fi. We ship concrete software that saves engineering and support hours today.

Observable by Default

If an AI decision cannot be audited, explained, or corrected by an operator, it should not run in production.

Privacy as a Foundation

Customer data belongs solely to the business. We never train public models on your proprietary company knowledge.

Engineered for Resilience

Automated upstream provider failovers ensure your customer touchpoints stay responsive even if an AI vendor degrades.

Start Automating Today

Ready to Experience Observable AI for Your Business?

Join forward-thinking companies automating customer support, qualifying leads 24/7, and unlocking company knowledge with Sarvadrik AI.

30-day trial • Zero infrastructure setup • Dedicated enterprise support