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Smarter. Safer. Sovereign.
Tathya is an agentic, multimodal AI platform that turns fragmented enterprise data into precise, cited intelligence and ready-to-use drafts. Unlike cloud-dependent tools, Tathya is sovereign by design: it runs on-prem/air-gapped, as Private SaaS (single-tenant in your VPC or partner private cloud), or in public cloud where policy allows. It pre-processes millions of files to explainable intelligence in the languages your teams use every day.
A coordinated swarm of agents—Understand → Plan → Find → Act → Explain—interprets intent, plans the reasoning path, retrieves grounded evidence, invokes tools (parsers, SQL, vision, code), and self-verifies outputs with citations and lineage.
Data Ready → Decision Ready
Where typical systems analyze fragments at query time, Tathya prepares everything in advance, at enterprise scale. It connects to your estate, cleanses and harmonizes content, protects sensitive information, links related facts, and monitors freshness—so every answer starts from context, not chaos.
On-prem / Air-gapped Subscription (term license + updates + support, recognized as ARR). Absolute sovereignty.
Enabling rapid intelligence fusion, operational clarity, and mission-critical decision-making across defence and security operations.
Operational teams must assemble accurate mission timelines from orders, SITREPs, patrol logs, UAV/EO-IR footage—fast and with traceability.
50% faster time-to-first-brief · Repeatable templates · Higher decision confidence.
Analysts juggle HUMINT/SIGINT/OSINT feeds and images under intense time pressure.
Faster threat assessment · Consistent briefing quality · Reduced analyst load.
Patrol routes and incidents recur; patterns are hidden across logs and imagery.
Proactive routing · Fewer incidents · Structured learning across units.
Statements of Case and RFPs must follow mandated formats and reference specific clauses.
Weeks → hours for drafting · Fewer compliance reworks.
Accelerating customer intelligence, fraud detection, and regulatory compliance at scale.
RBI/SEBI updates are frequent; mapping to internal policy is slow and error-prone.
Fewer reworks · Faster compliance · Clear audit trail.
Manual underwriting summaries are slow and inconsistent.
Faster approvals · Higher consistency · Audit-ready documentation.
Banks struggle with siloed customer data spread across savings, loans, cards, and digital channels. This prevents relationship managers and digital platforms from offering personalized experiences and cross-sell opportunities.
Ingests data from multiple banking systems, credit bureaus, and digital interactions to give a unified, real-time view of the customer.
Enables hyper-personalized offers, risk-based pricing, and customer lifecycle management.
Faster loan/credit approvals with automated risk profiling.
Increase in cross-sell / upsell conversions.
Saved by reducing customer churn and improving retention.
Banks face increasing fraud attempts across digital payments, cards, and online transactions. Tathya analyzes streams, behavioral signals and third-party intelligence to detect anomalies in real-time.
Manual monitoring is too slow to detect anomalies in real time, leading to financial losses and reputational risk.
Uses AI to analyze transaction streams, customer behavior, biometrics, and third-party intelligence feeds.
Flags anomalies instantly and provides contextual explanations to compliance and risk teams.
Reduction in fraud-related losses
Faster detection & intervention
Saved in fraud claims & chargebacks
Continuous mapping of regulatory updates and automated reporting to reduce errors and filing effort.
Compliance teams must track evolving regulations; manual interpretation and reporting create errors, delays, and exposure to penalties.
Continuously maps global regulatory updates to internal processes.
Automates compliance reporting for regulators, reducing manual effort and filing errors.
Reduction in compliance filing errors
Faster audit preparation
Saved in avoided penalties
Streamlining file management, circulars, and policy impact tracking across government organizations.
Large files and circulars move slowly; auditability and language variety are essential.
60% faster note prep · Clear traceability · Consistent templates.
Policies, tenders, inspections, and outcomes are scattered across systems.
Better oversight · Faster program adjustments · Fewer escalations.
RTI responses must be accurate, complete, and consistent with law.
Consistency · Faster response · Legal defensibility.
Enhancing clinical decisions, patient care coordination, and regulatory compliance for healthcare providers and pharmaceutical companies.
Pharmaceutical R&D teams face massive data overload with millions of research papers, trial reports, and ever-changing regulatory updates. This slows down discovery and increases compliance risks.
Ingests research data, clinical trial results, and patents to give instant, contextual answers.
Streamlines approval by mapping global FDA, EMA, and PMDA requirements.
Faster identification of viable compounds in pre-clinical stages.
Reduction in regulatory filing errors.
Saved in compliance delays and rework.
Exploding volume of research, trials, and patents slows discovery.
Faster candidate discovery · Reduced duplication · Higher R&D velocity.
Dossier assembly is error-prone and time-consuming.
40% fewer filing errors · Faster submissions · Fewer regulator queries.
Clinician time is scarce; documentation must be private and precise.
Time back to clinicians · Better documentation quality · Safer handovers.
Aggregate EHR notes, labs, vitals, meds, allergies, and guidelines to propose context-aware assessments and orders. Safety checks for renal dosing, allergies, and drug interactions with guideline citations.
Reduction in avoidable variation in care.
Improvement in time to diagnosis for complex cases.
Medication errors and callbacks.
Lift in net patient revenue via accurate coding.
Reduction in initial denials.
Faster chart audits for high-risk claims.
Optimizing operations, maintenance, and safety across aviation and airport infrastructure.
ATC logs, NOTAMs, baggage, ground ops, and maintenance data must converge into timely action.
Faster disruption response · Fewer cascading delays.
Incident media and reports must become clear safety actions.
Clear corrective actions · Improved audit readiness.
Extracting maintenance tasks from AMM/IPC/SBs is tedious.
Faster planning · Fewer missed steps.
Ensuring asset reliability, predictive maintenance, and regulatory compliance in energy operations.
Operators need clear, defensible incident narratives and plans.
Shorter MTTR · Better cross-team coordination.
Work orders and manuals are dispersed; context is lost.
Higher uptime · Right-first-time maintenance.
Evidence needs to be compiled rapidly and accurately.
Fewer audit findings · Faster reporting cycles.
Accelerating root cause analysis, predictive maintenance, and production efficiency with AI-driven insights.
Defects repeat when the story behind them isn’t clear.
Fewer defects · Faster line recovery.
SOPs are long; execution needs visual guidance.
Fewer errors · Faster training · Safer ops.
Spec mismatches and contract gaps surface late.
Stronger supplier governance · Less rework.
Signals live across logs, manuals, and work orders; RCA is slow.
Reduced downtime · Better parts planning.
Manufacturing teams face recurring machine and part failures that slow down production and increase downtime. Identifying the true root cause often requires piecing together data from sensors, maintenance logs, and quality records — a time-consuming and error-prone process.
Faster root cause identification
Reduction in unplanned downtime
Saved annually
Optimizing network operations, customer experience, and infrastructure management at scale.
Alarm storms and ticket floods overwhelm teams; RCA quality varies.
Faster RCA · Fewer repeats · Clearer communications.
Distributed vendors and contracts complicate accountability.
Better negotiations · Predictable performance.
Banks face increasing fraud attempts across digital payments, cards, and online transactions. Tathya analyzes streams, behavioral signals and third-party intelligence to detect anomalies in real-time.
Manual monitoring is too slow to detect anomalies in real time, leading to financial losses and reputational risk.
Uses AI to analyze transaction streams, customer behavior, biometrics, and third-party intelligence feeds.
Flags anomalies instantly and provides contextual explanations to compliance and risk teams.
Reduction in fraud-related losses
Faster detection & intervention
Saved in fraud claims & chargebacks
Continuous mapping of regulatory updates and automated reporting to reduce errors and filing effort.
Compliance teams must track evolving regulations; manual interpretation and reporting create errors, delays, and exposure to penalties.
Continuously maps global regulatory updates to internal processes.
Automates compliance reporting for regulators, reducing manual effort and filing errors.
Reduction in compliance filing errors
Faster audit preparation
Saved in avoided penalties
Dealing with equipment manuals, inspection reports, and operational data that require real-time processing and knowledge management for maintenance and operational efficiency.
Manufacturing teams face recurring machine and part failures that slow down production and increase downtime. Identifying the true root cause often requires piecing together data from sensors, maintenance logs, and quality records — a time-consuming and error-prone process.
Correlates IoT sensor data, maintenance notes, and past RCA reports to identify the most probable cause of failure. Recommends corrective actions, spare part replacements, and preventive steps based on historical learnings.
Predicts potential equipment breakdowns before they occur by analyzing vibration, temperature, and pressure anomalies. Provides early alerts and generates maintenance schedules to reduce unplanned stoppages.
Faster root cause identification for recurring defects and machine failures.
Reduction in unplanned downtime through early failure prediction.
Saved annually through improved asset uptime and reduced maintenance cost.
Aggregate EHR notes, labs, vitals, meds, allergies, and guidelines to propose context-aware assessments and orders. Safety checks for renal dosing, allergies, and drug interactions with guideline citations.
• Information overload across notes, labs, imaging, and guidelines.
• Time pressure reduces adherence to best-practice pathways.
• Siloed systems hide history and contraindications.
Reduction in avoidable variation in care.
Improvement in time to diagnosis for complex cases.
Medication errors and callbacks.
• Documentation gaps lead to denials and under-coding.
• Coverage and pre-auth rules differ by payer and change frequently.
• Audits require time-consuming chart reviews.
Lift in net patient revenue via accurate coding.
Reduction in initial denials.
Faster chart audits for high-risk claims.
Aggregate EHR notes, labs, vitals, meds, allergies, and guidelines to propose context-aware assessments and orders. Safety checks for renal dosing, allergies, and drug interactions with guideline citations.
• Information overload across notes, labs, imaging, and guidelines.
• Time pressure reduces adherence to best-practice pathways.
• Siloed systems hide history and contraindications.
Reduction in avoidable variation in care.
Improvement in time to diagnosis for complex cases.
Medication errors and callbacks.
• Documentation gaps lead to denials and under-coding.
• Coverage and pre-auth rules differ by payer and change frequently.
• Audits require time-consuming chart reviews.
Lift in net patient revenue via accurate coding.
Reduction in initial denials.
Faster chart audits for high-risk claims.
Large files and circulars move slowly; auditability and language variety are essential.
60% faster note prep · Clear traceability · Consistent templates.
Policies, tenders, inspections, and outcomes are scattered across systems.
Better oversight · Faster program adjustments · Fewer escalations.