VaagaTech
Deploy modular, production-ready software engines that give your enterprise an unfair advantage. From autonomous multi-agent meshes and 10-tier dynamic LLM cost-routing to sub-10ms vector search and specialized vertical AI platforms — our products deliver 10x engineering velocity, 70% lower compute bills, and complete data sovereignty.
12
Integrated Products
70%
LLM Inference Cost Saved
<10ms
Search & Graph Retrieval
100%
Data & Cloud Sovereignty
Practical AI in Action
We reject brittle, single-prompt chatbot theater. Our products harness artificial intelligence where it delivers measurable business leverage: cost reduction, autonomous remediation, multimodal extraction, and mathematically verified execution.
Tharior Remedai
10-tier intelligent LLM router automatically directs subtasks to the most cost-effective model, cutting inference spend by up to 70%. Peer-reviewed A2A protocols diagnose production errors and generate verified pull requests autonomously.
Anvesh & VaagaGraph
Sub-10ms semantic retrieval merging BM25 keyword matching with dense HNSW vector similarity. Native SQ8 quantization slashes memory by 75%, powering private enterprise RAG copilots with zero SaaS per-query fees.
BhumiClear & Vastra
Multimodal OCR transcribes degraded legal deeds across 5 regional languages to flag 30-year property title risks in 15 minutes. Deterministic color-space vision enables apparel motif search without heavy GPU overhead.
Vaakly & AxiomFlow
Fidelity-first deterministic grammar polish running 100% offline with zero cloud API bills. LangChain-assisted copilots convert natural language standard operating procedures into mathematically verifiable 11-state compliance machines.
Enterprise Economics
Move past speculative AI experiments into deterministic software assets that compound value on your balance sheet.
Routing 80% of mundane queries to optimized small models or deterministic code preserves frontier LLM budgets for true cognitive challenges.
Every engine deploys in your private VPC or on-premise Kubernetes pods. No training on your intellectual property, customer records, or source code.
AI outputs must pass formal state machine validation (`AxiomFlow`) and snapshot reconciliation (`Snapline`) before executing in production.
Want to see an interactive architecture walkthrough on your real workload?
Schedule an AI Architecture Demo→Pillar 1 · Autonomous AI & Orchestration
Deploy autonomous AI teams that actually ship. From 10-tier dynamic cost routing and self-healing GitHub pull requests to mathematically unbreakable 11-state compliance engines.
Autonomous Multi-Agent Mesh & Self-Healing AI
Enterprise-grade agentic mesh with 10-tier dynamic LLM routing, Agent-to-Agent (A2A) protocol negotiation, AST Knowledge Graph memory, and autonomous self-healing pull request generation.
10
Dynamic LLM Tiers
70%
LLM Cost Reduction
A2A
Peer Protocol
Reactive API & Workflow Orchestrator
Pure async/await execution with a Fluent TypeScript DSL, nested parallel branches, sub-10ms execution overhead, and built-in SQLite telemetry for every workflow step.
<10ms
Engine Overhead
DAG
Parallel Branches
100%
Step Telemetry
Deterministic SOP Rule & Compliance Engine
Converts standard operating procedures into mathematically deterministic rule graphs. Features an 11-state Finite State Machine with strict mutation guards and LangChain-powered copilot assistance.
11
FSM Formal States
100%
Deterministic Execution
0
Unauthorized Transitions
Pillar 2 · Data Intelligence & Search
Eliminate JVM garbage collection pauses, optimize vector index memory with SQ8 quantization, and run TB-scale knowledge graphs in lightweight 1GB Kubernetes pods with zero vendor lock-in.
Enterprise Hybrid Search & Vector Database for Private AI
Sub-10ms search merging BM25 keyword matching with HNSW vector similarity. SQ8 quantization slashes vector RAM footprint by 75%, delivering sovereign enterprise RAG and visual motif discovery with zero per-query SaaS tax.
<10ms
Search Latency
98%+
Semantic Recall
75%
SQ8 Vector Memory Reduction
High-Speed Vectorized Streaming ETL Platform
Zero-JVM columnar streaming engine built on PyArrow C++ and Polars. Ingests, encrypts, and delivers over 120,000 events/sec with zero data loss, automated backpressure, and row-level DLQ isolation.
120k+
Rows / Sec Throughput
0
Data Loss (DLQ)
AEAD
Hardware Encryption
Distributed Sharded Graph Database for 1GB Pods
Engineered specifically for TB-scale graph topologies running inside micro-footprint 1GB Kubernetes pods. Delivers sub-10ms traversals, consistent hash sharding, and native dynamic match scoring.
<10ms
Traversal Latency
1GB
Pod Memory Footprint
50%+
Match Engine Threshold
Pillar 3 · Industry Vertical Platforms
Vertical applications demonstrating the power of our unified AI and data ecosystem across high-conversion commerce, computational matrimony, and legal title intelligence.
Lean, High-Conversion Commerce Platform
Complete productized commerce platform engineered for fashion merchants and specialty brands. Features visual search, automated WebP image pipelines, serverless AWS scaling, and integrated payment gateways.
<$20/mo
Base Hosting Cost
99.99%
Serverless Uptime
<1s
Mobile Page Speed
Cultural Matchmaking & Computational Vedic Platform
High-precision relationship intelligence combining deep computational Vedic astrology with reciprocal preference matching. Swiss Ephemeris WASM calculates planetary charts in under 5ms.
<5ms
Horoscope Computation
150k+
Global Cities Catalog
12-Kuta
Porutham Compatibility
AI-Assisted Property Title Legal Intelligence
Slashes property title due diligence from weeks to minutes. Multimodal OCR processes degraded regional-language deeds while AI timeline disconnect engines detect missing link documents, encumbrance gaps, and title risks.
95%
Turnaround Time Saved
5+
Regional Languages
0
Missed Title Gaps
Pillar 4 · Quality, NLP & Continuous Assurance
Keep your machine communication clean and your systems honest. Declarative snapshot testing replaces thousands of brittle assertions while offline NLP polishes text with zero API bills.
Declarative Snapshot & Reconciliation Testing Framework
Replaces thousands of brittle integration test assertions with declarative golden datasets and reconciliation rules. Reconciles API ↔ DB, DB ↔ DB, and async message queues with deep JSON diffing.
80%
Less Test Boilerplate
100%
Fidelity Diffing
0
Silent Data Drift
Zero-Hallucination Deterministic Offline NLP
Ultra-fast offline grammar and spelling correction engine. Uses pre-baked WordNet vocabulary packs to polish machine text, logs, and user notes without inventing facts, hallucinating, or incurring cloud API bills.
0
Hallucinations Possible
$0
Runtime API Cost
1.6MB
Edge Footprint
Centralized Test Run Dashboard & Baseline Approval Portal
Cloud-native analytics and governance portal for continuous visual and snapshot testing. Centralizes multi-repository test telemetry, baseline regression approvals, and CI/CD status reporting.
Real-Time
CI/CD Ingestion
1-Click
Baseline Approvals
100%
Audit Trail Records
The Ecosystem Advantage
Every product feeds data, intelligence, and quality signals into the next — accelerating performance, reducing development overhead, and ensuring ironclad reliability.
STREAM → SEARCH & GRAPH
Veloctra streams change-data-capture records at 120k+ rows/sec directly into Anvesh vector indices and VaagaGraph topologies with sub-second synchronization.
AI MESH + DETERMINISTIC RULES
Tharior Remedai autonomous agent meshes collaborate using A2A protocols, while AxiomFlow enforces immutable state machine rules to eliminate non-compliant actions.
CONTINUOUS RECONCILIATION
Snapline and Snapline Hub automatically verify API↔DB contracts and UI regressions across the entire ecosystem before pull requests merge.
Enterprise Deployment
Whether you need on-premise air-gapped deployment, custom domain adapters, or dedicated 24/7 SLA support, our core engineering team works directly with your organization.
Deploy on your terms: AWS, GCP, Azure, bare-metal Kubernetes, or air-gapped data centers. Full source visibility and complete data sovereignty.
Test real performance on your actual data. We deliver high-throughput PoCs demonstrating latency, memory reduction, and ROI before production sign-off.
Work directly with the system architects who authored the engines. Dedicated Slack channels, architecture reviews, and 24/7 enterprise SLAs.
Tell us about your throughput goals, search challenges, or automation requirements. We reply within 24 hours.