LoQal AI combines geospatial intelligence, generative AI, and agentic automation into a unified Business Operating System. We empower enterprises to evaluate properties and partners, automate onboarding and compliance, and orchestrate multi-location operations with predictive accuracy. Built for scale and governance, LoQal AI transforms expansion from guesswork into a reproducible, measurable process—so leaders can focus on strategy while AI manages the operational complexity.
We connect digital and physical assets—partners, outlets, people, and IoT—into a unified intelligence layer powered by Agentic Intelligence for hyper-contextual automation. LoQal AI correlates geospatial, financial, operational, and market signals to generate fitment scores, demand heatmaps, and adaptive workflows that de-risk expansion and accelerate scale. We empower enterprises with decisionable intelligence, strong governance, and a framework for consistent, repeatable growth.
Intelligence you can trust. Scale you can measure.
Enable organizations to expand and operate with AI-first intelligence—turning decisions into auditable, data-backed outcomes.
Become the most trusted DeepTech Business OS—where geospatial insight, agentic AI, and human expertise orchestrate predictable, ethical growth.
LoQal AI upholds enterprise-grade governance through role-based access control, brand-isolated data tenancy, and encryption across all layers—both in transit and at rest. Every Agentic model functions within an ethical autonomy framework governed by bias prevention, explainable decision systems, and human-in-the-loop validation. Combined with model monitoring, decision logs, and configurable compliance templates mapped to global privacy and sectoral regulations, LoQal AI ensures trust, transparency, and responsible intelligence at scale..
Pioneering solutions for complex growth
Transparent, auditable, trust-driven systems
Expansion-ready, future-proof architecture
AI designed to empower people
Ethical, secure, compliance-first intelligence
Our leadership blends AI research, geospatial modelling, and enterprise systems at scale. We design explainable components, pre-configured industry templates, and orchestration that reduces time-to-value. We hire people who enjoy hard problems—data fusion, agent safety, and mission-critical reliability.
Visionary entrepreneur and growth leader, Ananta stands at the forefront of Indiaâs digital transformation, bridging creativity, technology, and people. (NSRCEL, IIM Bangalore â Alumni)
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Visionary entrepreneur and growth strategist who co-founded breakthrough MarTech platforms, redefining how brands scale with AI and hyperlocal intelligence.
Leads the core technology, product, AI strategy, and innovation leadership that powers the Loqal AI ecosystem and the SRIJAN residency.
Finance leader from Deloitte with expertise in financial governance, valuation, and investment strategy, ensuring innovation is backed by fiscal discipline.
Vision-driven product and business leader driving innovation, operational clarity, and scalable systems that shape digital ecosystems and strengthen long-term organizational growth.
Seasoned expert with 21+ years of experience in steering organisations toward robust governance, regulatory excellence, and legal risk management.
LoQal AI upholds enterprise-grade governance through role-based access control, brand-isolated data tenancy, and encryption across all layers—both in transit and at rest. Every Agentic model functions within an ethical autonomy framework governed by bias prevention, explainable decision systems, and human-in-the-loop validation. Combined with model monitoring, decision logs, and configurable compliance templates mapped to global privacy and sectoral regulations, LoQal AI ensures trust, transparency, and responsible intelligence at scale.
Structured, transparent, and unified data control
Enterprise-grade safeguards against evolving threats
Ethical, fair, and human-centred intelligence
Adherence to global laws and industry standards
Localized, multi-currency, multi-timezone, multi-language ready.
The platform adapts to regional rules, operating models, and languages. Localization spans onboarding playbooks, compliance checklists, and experience layers—supporting rapid rollout without sacrificing control.
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