Tathya accelerates mission-critical decision-making by turning dispersed operational data—orders, SITREPs, patrol logs, ISR imagery, maps and sensor feeds—into verifiable, traceable intelligence products that work in air-gapped and classified environments.
Teams must rapidly assemble accurate, evidence-backed timelines from heterogeneous sources while preserving provenance and redaction when required.
Analysts must correlate HUMINT/SIGINT/OSINT and imagery quickly, while maintaining provenance and caveats.
Recurring incidents and hidden patrol patterns make proactive routing and force protection difficult.
Procurement documents must match mandated formats and reference precise policy clauses for auditability.
Enhancing clinical decisions, patient care coordination, and regulatory compliance for healthcare providers and pharmaceutical organisations.
Pharmaceutical R&D teams face massive data overload across publications, trials and patents; this slows discovery and increases compliance risk.
Ingests research data, clinical trial results, and patents to give instant, contextual answers.
Maps global FDA, EMA and PMDA requirements to your dossier and highlights gaps.
Exploding volume of research, trials, and patents slows discovery.
Dossier assembly is error-prone and time-consuming.
Clinician time is scarce; documentation must be private and precise.
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.
Accelerating root cause analysis, predictive maintenance, and production efficiency with AI-driven insights.
Defects repeat when the story behind them isn’t clear.
SOPs are long; execution needs visual guidance.
Spec mismatches and contract gaps surface late in the supply chain.
Signals live across logs, manuals, and work orders; RCA is slow.
Manufacturing teams face recurring machine and part failures that slow 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.
Accelerating customer intelligence, fraud detection, and regulatory compliance at scale.
RBI/SEBI updates are frequent; mapping to internal policy is slow and error-prone.
Manual underwriting summaries are slow and inconsistent.
Banks struggle with siloed customer data across savings, loans, cards and digital channels, preventing personalized experiences and cross-sell.
Ingests data from banking systems, credit bureaus and digital interactions to give a unified, real-time customer view.
Enables hyper-personalized offers, risk-based pricing and lifecycle management.
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.
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.
Manual underwriting summaries and claims reviews are slow, inconsistent, and expose organizations to fraud and leakage.