INTELLECTUAL PROPERTY: IN 202541131196 (PATENT PENDING)

Baikal Brains Presents

The Infrastructure.

Fully Autonomous.

Bridging the willpower gap by deploying agentic AI pipelines over proprietary, high-fidelity biometric data streams.

The BH-AI Pipeline.

BH-AI System Architecture
Phase 1: Onboarding Orchestration

Multi-Agent Persona Engine

A specialized suite (Onboarding Orchestrator & Input Collector) autonomously ingests medical history and biometric baselines to initialize the digital twin.

  • Goal-Setting Agent: Establishes reduction targets and automates meal timings mapped to user lifestyle.
  • Diet-Prep Agent: Generates initial baseline protocols based on verified food preferences.
Phase 2: Monitoring & Prediction

Tier 1: Biometric Stream

Real-time synchronization of Smart Textile signals via BLE (Bluetooth Low Energy) handshake into Google Vertex AI.

  • Optimization Priority: Identifies critical body factors requiring immediate intervention.
  • Trajectory Forecasting: Predicts weight and inch reduction outcomes based on current biometric velocity.

⚙️ PROD STATUS: Currently migrating local inference models to a centralized Google Vertex AI pipeline.

Phase 3: Agentic Resolution

Tier 2: Multi-Agent RAG Framework

Utilizing Gemini 2.5 Flash, the system transitions from analysis to autonomous execution of health protocols.

  • Primary Resolution Agent: Executes autonomous root-cause analysis to identify physiological blockers.
  • Dynamic Diet-Prep Agent: Triggers corrective dietary modifications via WhatsApp API without human manual entry.
  • Self-Correcting Logic: Agents monitor user feedback loops to refine future metabolic predictions.
Product in Action

The BhAi Experience.

See how our Agentic Pipeline moves from the initial "WhatsApp Handshake" to a finalized metabolic protocol in under 20 minutes.

Step 1: Onboarding

Automated initialization of the Digital Twin via WhatsApp.

Step 2: Analysis

Root-cause analysis powered by Gemini 2.5 Flash.

Step 3: Resolution

Immediate protocol delivery with actionable "Factor-Fixes."

⚙️ Technical Note: This walkthrough demonstrates live API orchestration between GCP, Vertex AI, and the WhatsApp Business Platform.

System Orchestration.

A multi-agent framework designed to automate the complete metabolic lifecycle—from cold-start onboarding to real-time corrective intervention.

Phase 1: Digital Twin Onboarding

The Setup Ingredients

Onboarding Orchestrator:

Master agent sequencing data flow between clinical inputs and baseline protocol generation.

Input Collector:

Automated ingestion of historical medical markers, biometric baselines, and lifestyle preferences.

Goal-Setting Agent:

Establishes reduction targets and automates meal timing protocols based on the user's circadian lifestyle windows.

Initial Diet-Prep Agent:

Synthesizes user food choices into a Day-1 actionable nutritional framework.

Phase 2: Active Monitoring (BH-AI)

The Engine Ingredients

BLE Ingestion Layer:

Direct Bluetooth handshake between Smart Textiles and web-interface for zero-error body factor entry.

Tier 1 Prediction (Vertex AI):

Calculates optimization priorities and forecasts weight/inch reduction trajectories.

Tier 2 Resolution (Gemini 2.5 Flash):

Agentic root-cause analysis that identifies physiological blockers and suggests dietary modifications.

Dynamic Diet-Prep Agent:

A self-correcting agent that triggers real-time protocol updates via WhatsApp API based on weekly Tier 1 shifts.

Infrastructure Deployment Roadmap

Status: Deployed

Phase 1: Agentic Orchestration

Complete deployment of the multi-agent onboarding suite on Cloud. Onboarding Orchestrator, Input Collector, and Goal-Setting Agents are fully operational for autonomous protocol generation.

Status: Deployed

Phase 2: Prediction & Resolution

Tier 1 and Tier 2 (Gemini 2.5 Flash) engines are active. System currently supports browser-based biometric factor entry, providing predictive metabolic insights and autonomous dietary interventions via WhatsApp API.

Status: In-Progress

Phase 3: Hardware Handshake

Integration of Smart Textile sensor arrays via Bluetooth (BLE). Hardware Design Freeze is in effect (Patent: IN 202541131196). Mapping raw signals directly to established Tier 1 models.

Hardware Specification: Prototype V1.0

The physical layer of our system, designed for high-fidelity data capture as per Patent IN 202541131196.

  • Sensor Array: Multi-node bio-impedance & flexible sensors.
  • Sampling Frequency: raw signal capture for Tier 1 ingestion.
  • Transmission: Low-latency BLE gateway to Web-Interface.
  • Data Pipeline: Automated ETL into Vertex AI for real-time inference.
Infrastructure Integrity

Anonymized Logic, Encrypted Delivery.

As an official WhatsApp Tech Provider, Baikal Brains ensures that every metabolic intervention is transmitted via 256-bit end-to-end encryption. Our hybrid infrastructure (AWS/GCP) is architected for privacy by design.

  • ✔ Anonymized Data Lake: We utilize internal unique identifiers for customer records. No Personally Identifiable Information (PII) is stored alongside health markers at rest, ensuring a decoupled security model.
  • ✔ Cryptographic Integrity: Ingress is secured via AWS API Gateway with identity established through HMAC-signed (itsdangerous) security tokens to prevent unauthorized data injection.
  • ✔ Zero-Trust Orchestration: Cross-cloud microservices communicate via short-lived security tokens and IAM-authenticated service accounts, maintaining a strict zero-trust posture.
🔐

Verified Infrastructure

EX-AMAZON ENGINEERING DNA + HEALTH SCIENCE

Domain & Technical Leadership

Baikal Brains is led by Sunny Arora, bridging 21+ years of systems architecture with 8 years as a Certified Health Coach.

By combining operational excellence from 3.5 years at Amazon with deep metabolic health expertise, we have codified human wellness expertise into scalable, product-led AI pipelines. We specialize in transforming complex hardware biometrics into actionable, cloud-native intelligence.

The Mind Behind the Engine.

photo of Sunny Arora

Sunny Arora

Founder & Chief Architect

Sunny bridges 21+ years of systems engineering with 8 years of metabolic health expertise to build the core logic of the BH-AI platform.

  • Ex-Amazon Infrastructure: Specialist in high-concurrency systems and operational excellence (3.5 years).
  • Certified Health Coach: 8 years of domain expertise in metabolic health, providing the scientific foundation for our AI agents.
  • AI Systems Design: Architecting agentic pipelines on Gemini 2.5 Flash to automate complex lifestyle interventions at scale.
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