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GovTech AI  ·  Data Intelligence  ·  Hyderabad

AI Intelligence.
Built for Complex
Decisions.

ARTHRYX Labs builds AI systems that work on real-world data — messy, fragmented, and at scale. We turn it into structured intelligence that organisations can act on.

0
Mandals Modelled
0Cr
Damage at Stake
0
Constituencies Covered
0+
Polling Booths Analysed

The Gap
72 hrs
Average warning-to-action lead time lost to siloed government data
₹6,384 Cr
Cyclone Montha 2025 — AP's costliest disaster in a decade
119
Telangana constituencies with no integrated data intelligence layer
Two domains.
Same structural failure.

In governance, Andhra Pradesh has RTGS 4.0, AWARE 2.0, a robust alert network — but no AI layer that synthesises them into a mandal-level decision brief when a cyclone makes landfall.

In elections, parties run surveys, compile booth reports, and rely on experienced managers — but no system processes all 119 constituencies simultaneously, identifies swing clusters, and surfaces sentiment shifts before they show up on the ground.

ARTHRYX Labs built InsightOS to close both gaps, starting where the data exists and the need is proven. Not by replacing existing infrastructure, but by making it intelligent.


The Products
InsightOS

Two platforms, purpose-built for their domains. One intelligence architecture underlying both.

InsightOS · Governance
Governance Intelligence
Built on RTGS 4.0 · Andhra Pradesh

An AI intelligence layer that integrates with AP's RTGS 4.0 — delivering mandal-level disaster impact predictions, cross-department cascade alerts, and AI-synthesised bilingual briefings for officers on the ground.

899
Mandals
4
Modules
2
Languages
  • Cyclone & flood impact prediction at mandal level with 72-hour advance warning
  • Automated SDRF/NDRF budget estimation aligned with AP damage framework
  • AI-synthesised briefings in English and Telugu for field officers
  • Cross-department cascade alerts — IMD, AWARE 2.0, irrigation, revenue
  • Agriculture stress detection, tourism safety scoring, energy optimisation
Prototype · Backtested on Cyclone Montha 2025
InsightOS · Electoral
Electoral Intelligence
Booth-Level Clarity · Telangana 119 Constituencies

An AI platform that processes booth-level ECI results, Census demographics, candidate affidavits, and real-time public sentiment — producing structured electoral intelligence no manual process can generate at this scale or speed.

119
Constituencies
32K+
Booths
6
Domains
  • Historical booth-level swing analysis across 5+ election cycles
  • Constituency contestability scoring and resource prioritisation matrix
  • Voter demographic intelligence — age, gender, SC/ST composition per booth
  • Candidate & opponent profiling from verified ECI affidavit data
  • Real-time sentiment tracking — surfaces shifts 48 hrs before ground surveys
Active Development · Telangana Focus

Architecture
One Engine.
Two Intelligence Layers.

Both InsightOS products share a common data processing backbone — spatial AI, ensemble ML, and NLP synthesis — adapted to their respective domains.

Data Inputs
IMD Gridded Rainfall
IBTrACS Cyclone Tracks
SRTM 30m Elevation
ECI Form 20 Results
Census Demographics
Public Sentiment Signals
India-WRIS API
ECI Affidavits (Form 26)
InsightOS Intelligence Engine
Intelligence Outputs
Mandal Impact Maps
Cascade Alerts
Telugu/English Briefings
Contestability Scores
Sentiment Digests
SDRF Cost Estimates

Live Backtest · Cyclone Montha 2025
443 Mandals.
₹6,384 Crore.
Called 72 Hours Earlier.

InsightOS Governance was backtested against Cyclone Montha. The model was trained only on prior cyclones: Hudhud 2014, Titli 2018, Michaung 2023, and others.

  • Mandal Prediction Accuracy89.0%
  • Affected Mandal Recall88.6%
  • False Alarm Rate10.2%
  • Briefings Generated899 mandals · <4 min
  • Damage at Stake₹6,384 Crore
Leave-One-Cyclone-Out cross-validation. Montha held as fully unseen test set. Full methodology available on request.
AP Cyclone Impact — Predicted Zone
High Impact Moderate Impact BAY OF BENGAL →

Alignment
Built for National Priorities

InsightOS is designed to qualify for government procurement, IndiaAI Mission co-funding, and formal development partnerships.

🏛️
Swarna Andhra @2047
AP's long-term governance vision. InsightOS Governance is built to its data infrastructure standards.
🤖
IndiaAI Mission
MeitY co-funding eligible. Centre-State partnership model reducing AP's effective cost.
🌀
NDMA National Plan
Disaster management outputs aligned with SDRF/NDRF damage assessment frameworks.
🔒
DPDP Act 2023
All data used is publicly available and legally accessible. Full compliance by design.
🛡️
CERT-In Standards
Cybersecurity architecture aligned with CERT-In guidelines for government-deployed systems.
📊
ECI Public Data
Electoral Intelligence built entirely on Form 20, Form 26, and Census — all public, all legal.

The Team
Built by people who
ship, not pitch.

Two builders with technical depth, government fluency, and zero patience for demos that don't reflect reality.

K
Founder & CEO
Kapardhi Kannekanti

Built both InsightOS platforms from the ground up, from raw data to the intelligence layer that sits above it. Combines deep technical execution with product vision.

H
Co-Founder
Hari Rajan

Drives business strategy, partnerships, and financial operations at ARTHRYX. The bridge between the product and the rooms where decisions get made.


Get in Touch
Ready to see InsightOS
in action?

We brief government officials, technical teams, policy decision-makers, and electoral leadership. All engagements are confidential. We respond within 48 hours.