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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.
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 & rework.
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. 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
Compliance teams must track evolving regulations (Basel III, FATCA, AML, GDPR, RBI/ECB rules). Manual interpretation and reporting create errors, delays, and expose banks to heavy 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 and reduced rework.
Fragmented sensor data, alarms, workorders increase manual effort and risk. Policies/standards/processes change frequently; hard to track. Current review/analysis steps are slow and inconsistent.
Anomaly->RCA orchestrates retrieval, reasoning, and task automation.
Copilot drafts outputs with citations and guardrails. Dashboards track owners, SLAs, and effectiveness checks.
Cycle-time reduction
Higher quality / consistency
Improved compliance readiness