Building Deterministic Intelligence for High-Stakes Economies.
Zunn was founded on a singular conviction: as artificial intelligence transitions from consumer curiosity to enterprise infrastructure, probabilistic guessing is unacceptable. We build sovereign, citation-grounded platforms engineered for environments where statutory, financial, and operational precision is non-negotiable.
Zunn Legally, Zunn Fihi, and Zunn Sono
Statutes, live store APIs & verified audio tokens
Client data never trains foundation models
Low-latency APIs & streaming voice pipelines
The Chasm Between Consumer Demos and Enterprise Reality.
The technology industry has spent billions optimizing AI models for generic conversation, creative roleplay, and casual assistance. Yet when these same models are deployed inside commercial law firms, statutory tax departments, high-volume retail stores, or telecom contact centers, they fail.
They invent legal precedents, miscalculate withholding tax formulas under statutory tax schedules, provide hallucinatory answers to ecommerce shoppers, and butcher South Asian speech phonetics. In high-stakes institutional environments, probabilistic guessing creates severe legal liabilities and customer attrition.
Zunn was founded to close the enterprise precision gap. We do not build chatbots; we build domain-grounded intelligence systems constrained by primary statutory law (Income Tax Act 2023, Companies Act 1994, Supreme Court precedent), live transactional store APIs (12 audited backend mutations), and low-latency acoustic models (Dhaka Bengali prosody and G2P conjunct disambiguation).
Four Invariant Pillars of Deterministic Applied AI.
Our engineering systems are constrained by structural commitments that ensure institutional trust.
Sovereign Domain Mastery
General-purpose intelligence must be grounded in primary statutory law and linguistic realities. Zunn Legally provides sovereign legal & tax intelligence for Bangladesh (Harvey RAG & Vault Review, full personal and corporate tax engines, agentic legal advisors, and Clio practice management), while Zunn Sono delivers native acoustic modeling for South Asian phonetics.
Zero Hallucination by Design
Our architectures never emit ungrounded assertions. Every statement, computation, and action is strictly paired with authenticated provenance—whether a coordinate bounding-box citation on a gazetted SRO, a live Shopify order mutation ID, or a cryptographically watermarked audio token.
Enterprise Data Containment
We enforce an immutable architectural boundary: client data belongs exclusively to the client. We maintain tenant-isolated cryptographic data vaults, enforce matter-level ethical walls, and guarantee in writing that customer briefs, tax packs, and voice recordings never train shared models.
End-to-End Operational Execution
Our platforms extend beyond passive advice to autonomous execution. Fihi directly executes order cancellations and address updates across 12 audited store actions; Legally computes audited IT-10B wealth statements and drafts legal instruments; Sono conducts full-duplex conversational telephone calls.
Our Core Engineering Principles.
Verification Over Generation
We prioritize mathematical, statutory, and deterministic verification over open-ended generative creativity. If a tax computation cannot be mathematically proven, or a legal citation cannot be pinned to an authentic gazette page, the system refuses to output.
Transparent Traceability
Every automated action, tax reconciliation step, and legal citation is completely auditable by human practitioners. We build for professional accountability, providing inspectable execution graphs rather than black boxes.
Institutional Respect
We engineer systems that elevate and augment human domain experts—senior advocates, chartered accountants, customer experience directors, and software architects—never attempting to replace professional judgment with unchecked automation.
Dhaka, Bangladesh
Core platforms are engineered by systems researchers, machine learning practitioners, and legal/tax domain specialists in Dhaka, meeting international enterprise security and availability standards.