AI is burning your money.
Every question you ask an AI costs money, and the bills grow faster than the value. Most companies pay for huge amounts of wasted processing they never see.
Quantum as a Service · Live in production
You don't need a datacenter in your house to make a phone call. You don't need a quantum lab to use quantum.
JAQL delivers quantum-powered AI as a simple service. It cuts your AI bills by up to 70%, catches what ordinary AI misses, and protects your data against threats that haven't even arrived yet. Live in 90 days.
Built in India · Runs inside your own systems · 90-day deployment · Results measured in money saved
Why "JAQL"? Pronounced "jackal" — the animal that out-thinks problems instead of charging them head-on. So do we.
The problem, in plain words
Four things ordinary AI gets wrong.
AI makes mistakes it can't explain.
"The computer said so" is not an answer a bank regulator, a hospital, or a defence ministry will accept. Most AI can't show its working. Yours has to.
Your data is being stolen for later.
Criminals copy encrypted data today and wait for quantum computers to unlock it tomorrow. Banks keep records for 10–15 years — well inside that window.
Slow decisions cost more than wrong ones.
Ordinary AI has no faster decision-making accuracy pathway — answers arrive after the moment has passed. JAQL routes high-stakes calls through a quantum-accelerated path so you decide while it still matters.
Watch: how ordinary AI quietly burns your budget — and how JAQL stops it.
JAQL solves all four. As a service. No quantum hardware to buy. No physicists to hire.
Why JAQL
Four claims. Every one of them measurable.
AI at about 30% of the cost.
AI is billed per word it processes; we strip out the waste before the AI sees it. Same answers, roughly one-third the bill.
Answers you can defend.
Every decision comes with a plain-English audit trail a regulator, board, or judge can read. No black boxes.
Tomorrow-proof security, today.
Protection against "steal now, unlock later" attacks, delivered as a service — no quantum hardware to buy.
Live in 90 days, inside your walls.
We deploy in your own cloud, on-premise, or air-gapped systems. Your data never leaves your building.
Who we help
Built for organisations where wrong answers cost more than money.
Banks & Lenders
Your pain: bad loans surprise you, fraud slips through, 15 years of stored data is exposed to quantum.
What we do: predict problem loans up to 72 hours early, catch fraud with evidence, recover NPAs, map your road to quantum-safe security.
Proof: 4.8× first-year return in banking pilots.
See banking products →Hospitals & Life Sciences
Your pain: scans are costly and slow, regulatory paperwork eats months.
What we do: cut per-scan compute cost, speed up regulatory filings — always with a doctor in the loop.
Proof: engineered toward a fraction of per-scan cost (in pilots).
See healthcare products →Defence & Drone Makers
Your pain: every link can be tapped, jammed, or betrayed by an insider.
What we do: quantum-secured transmission and sensing with no trusted middlemen — human always in the loop.
Proof: patent-pending architecture, publication in press.
See defence products →Government
Your pain: cross-department reporting is manual, slow, hard to audit.
What we do: automated, multilingual, audit-trailed reporting that runs on government premises.
Proof: reporting platforms deployed (in pilot).
See government products →Numbers, not adjectives
What clients actually measure.
70%+
lower AI cost
production workloads
4.8×
year-one ROI
bank & security pilots
90
days to live
standard deployment
76%
faster threat detection
StressTrace deployments
Team
Two founders. Decades each. One shared inbox.
Dr. Nupur Mukherjee
Co-founder & Chief Science Officer
25+ years in banking technology and AI (ex-Managing Director, Standard Chartered; ex-Director of AI at GSK). She builds the science and ships the code.
Kishan Sathyan
Co-founder & Chief GTM Officer
15+ years selling enterprise technology to banks and insurers. He runs every deal and every deployment.
One writes the science, one closes the deals.
Whitepapers
Download the research.
Open-access SSRN preprints. Citable, checkable, free to download as PDF.
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Human Indemnity Quantum Transmission Framework (HIQTF)A defence-grade architecture for long-haul QKD · SSRN preprint, 2026
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1/r³ Limits in NV-Center Biomagnetic SensingHelical drone swarms & EMP-hardened beacons for rescue and detection · SSRN preprint, 2026 · in press, Int'l Journal of Quantum Technologies
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Governing at the Speed of ThoughtAn AI-governance framework for regulated decisioning · SSRN preprint, 2026
PDF downloads are served by SSRN; some papers may prompt for a free SSRN sign-in.
FAQ
Plain answers.
What do you sell?
Quantum as a Service: quantum-powered AI that cuts your AI processing costs, explains every decision in plain English, and protects your data against future threats — all delivered as a service, inside your own systems.
Do I need quantum hardware?
Yes and no. You can apply quantum principles through our Quantum API, run your quantum infrastructure on a PaaS tenancy, or stand up your own quantum hub — all options are available, and we help you pick the one that fits your scale, sovereignty and budget.
How fast can we go live?
90 days, inside the client's own infrastructure. That is our standard deployment, everywhere.
Where does our data go?
Nowhere. Everything runs inside your own cloud, on-premise, or air-gapped systems. Your data never leaves your building.
How do you charge?
Fixed-scope engagements tied to a measurable outcome inside one quarter — money saved, risk reduced, or speed gained. We share the risk.
Who is this NOT for?
It is not for anyone who just wants a chatbot. We build for organisations where decisions carry regulatory, financial, or safety weight — banks, hospitals, defence, government.
What languages and regional frameworks do you support?
Interface and documentation in English, Hindi, Arabic, German, Japanese and Mandarin, with full Indian-language coverage across Hindi, Marathi, Telugu, Tamil, Kannada and Bengali. Every engagement is engineered to the client's domain, region and rulebook — India (DPDPA, RBI, SEBI, IRDAI, CERT-In), the Gulf (PDPL, NESA, SAMA, ADGM/DIFC), the EU (GDPR, DORA, EU AI Act, BaFin), Japan (APPI, FSA), China-facing operations (PIPL, MLPS 2.0), Australia (Privacy Act, APRA CPS 234/230), and US frameworks (HIPAA, SOC 2, NIST CSF, FedRAMP-aligned). Software, prompts, audit trails and data handling are localised to your industry framework.
Compliance & Responsible AI
How we keep it safe, explainable and lawful.
Which compliance frameworks do you align to?
India: DPDPA 2023, RBI, SEBI, IRDAI, CERT-In, MeitY. Gulf: UAE PDPL, NESA, SAMA, ADGM/DIFC. EU/UK: GDPR, DORA, EU AI Act, NIS2, BaFin, FCA. Asia-Pacific: Japan APPI/FSA, China PIPL/MLPS 2.0, Singapore PDPA/MAS TRM, Australia Privacy Act, APRA CPS 234/230. Americas: HIPAA, SOC 2, NIST CSF, NIST AI RMF, FedRAMP-aligned. Cryptography roadmap follows NIST PQC (ML-KEM, ML-DSA, SLH-DSA).
What does "Responsible AI" mean at JAQL?
Six non-negotiables on every deployment: (1) human-in-the-loop on every high-stakes decision; (2) explainability by default — every output ships with the features, weights and confidence behind it; (3) bias and fairness testing against client-defined protected attributes before go-live and on every model update; (4) data minimisation and purpose limitation; (5) full audit trail a regulator can read; (6) red-team and adversarial testing against prompt injection, data poisoning and model evasion. Mapped to the NIST AI RMF and the EU AI Act high-risk regime.
What does "Responsible Quantum" mean?
Quantum advantage cuts both ways. Our commitments: publish before we sell — the science is on SSRN and in press, citable and checkable; no quantum-enabled offensive tooling, ever; crypto-agility first — clients get a migration plan to NIST PQC standards (ML-KEM, ML-DSA) so today's data stays safe against "harvest-now, decrypt-later" attacks; energy honesty — we measure and report compute footprint, not just accuracy; and dual-use review on every defence or government engagement.
How is your AI actually explainable?
Every JAQL decision returns a structured explanation alongside the answer: the input features used, their relative weight, a confidence band, the policy rules triggered, and the counter-factual ("what would need to change to flip this decision"). Techniques include SHAP/Integrated-Gradients for model attribution, rule-based overlays for regulated logic, and natural-language rationales generated from the same evidence — so a relationship manager, a compliance officer and a regulator all see the same reasoning at the right level of detail.
What is the "Mythos attack" and how do you defend against it?
Mythos is the class of attack where an adversary fabricates a plausible but false narrative inside an AI system — through poisoned training data, crafted prompts, or synthetic "evidence" — to make the model confidently produce wrong answers a human is likely to trust. It is especially dangerous in fraud, claims, KYC and intelligence workflows. JAQL's defence is layered: provenance tagging on every input, retrieval grounding with signed source documents, cross-model consistency checks, anomaly scoring on prompt and embedding distributions, and a human-review gate the moment the explainer's confidence drops or sources disagree. Every Mythos-class event is logged, replayable, and surfaced to the compliance dashboard.
Where is StressTrace useful?
StressTrace is JAQL's cognitive-load and stress-signal engine. It is useful wherever human decision quality degrades under pressure and that degradation carries real cost: banking (dealer-desk fatigue, KYC analyst overload, fraud-ops burnout); healthcare (clinician handover risk, ICU alarm fatigue, surgical team coordination); defence and security operations (SOC analyst attention, watch-floor handoffs, incident-response readiness); aviation and critical infrastructure (control-room workload); and elite sport (team cognitive state and collapse risk, via the CPF wedge). It is sold as decision-support — never as surveillance, never as a predictor of individual outcomes — with consent, explainability and human review baked in.
What is Cognitive Overlay?
Cognitive Overlay is JAQL's layer that sits on top of your existing AI, analytics or workflow stack and adds the human-decision context the underlying model can't see — operator cognitive load, stress signals, attention state, policy constraints and explainability. It does not replace your models; it routes, weights and gates their outputs so high-stakes decisions are made with the right human in the loop, at the right moment, with a full audit trail.
What is Quantum Security?
Quantum Security is the discipline of protecting data, identities and infrastructure against threats that exploit quantum computing — and using quantum-inspired techniques (QKD-style key exchange, quantum-resistant signatures, entropy hardening) to strengthen classical defences today. In practice it means migrating to NIST PQC standards (ML-KEM, ML-DSA, SLH-DSA), adopting crypto-agility, and protecting long-lived secrets against "harvest-now, decrypt-later" attacks.
What is "Harvest Now, Decrypt Later"?
An adversary intercepts and stores your encrypted traffic today — payments, health records, contracts, intelligence — knowing they can't break it yet. They wait for a sufficiently capable quantum computer and decrypt it later. Anything with a confidentiality lifetime longer than a few years (banking records held 10–15 years, medical records, state secrets) is already exposed. The defence is to move to post-quantum cryptography now, not when quantum computers arrive.
Quantum AI vs Classical AI — what's the difference?
Classical AI brute-forces patterns by scaling compute and data; cost and energy grow with every query. Quantum AI (and quantum-inspired AI, which is what runs on classical hardware today) uses superposition- and entanglement-style mathematics to explore many candidate solutions in parallel, prune the search space, and return higher-confidence answers with far less compute. The practical result for clients: up to 70% lower token and inference cost, better performance on combinatorial and optimisation problems (fraud rings, risk portfolios, logistics), and explainable outputs.
What is Explainable AI for Banking?
Explainable AI (XAI) for banking means every model decision — credit, fraud, AML, KYC, suitability — ships with the features used, their weights, a confidence band, the policy rules triggered, and a counter-factual ("what would need to change to flip this"). It is required under RBI, SEBI, IRDAI, EU AI Act, GDPR Article 22, BaFin and SAMA guidance. JAQL produces explanations at three levels: customer-facing plain English, relationship-manager dashboard, and regulator-grade audit pack.
What is an AI Governance Framework?
An AI Governance Framework is the operating system for trustworthy AI: inventory of every model in use, risk-tiering (EU AI Act high-risk, limited, minimal), approval gates before production, monitoring for drift, bias and performance, incident response, and regulator-ready audit trails. JAQL implements governance aligned to NIST AI RMF, ISO/IEC 42001, the EU AI Act and sector regulators (RBI, SEBI, SAMA, MAS, APRA, FCA), with human-in-the-loop and explainability enforced by default.
What is Responsible Quantum Computing?
Responsible Quantum Computing is the commitment to develop and deploy quantum and quantum-inspired systems in ways that are safe, lawful, transparent and dual-use aware. JAQL's principles: publish before we sell (citable SSRN preprints), no offensive quantum tooling, crypto-agility first so clients can migrate to NIST PQC standards, energy honesty (we measure compute footprint), and dual-use review on every defence and government engagement.
What is Cognitive Security?
Cognitive Security protects the human side of the security stack — analyst attention, decision quality under load, susceptibility to social engineering and misinformation — alongside the technical perimeter. It combines cognitive-load monitoring (StressTrace), provenance and grounding against AI-generated deception (Mythos-class attacks), human-in-the-loop gates on high-stakes calls, and training and red-teaming for the people in the SOC, dealer desk, fraud-ops and watch floor. The premise: most breaches succeed because a human was overloaded, deceived or rushed — fix that, and you close the largest attack surface in the building.
Closing
See it working in 30 minutes.
A live demo on synthetic data. No slides, no theory. If it isn't useful, we'll tell you in the first 10 minutes.
Read the 2-minute explainer script
The hook. You don't need a datacenter in your house to make a phone call. You don't need a power station in your garden to switch on a light. So why does everyone think you need a quantum lab to use quantum? You don't. That's the whole idea behind JAQL.
Who we are. We're Jumpstart AI and Quantum Labs. For three years we worked quietly in research mode — two founders, decades in banking and pharma between us — proving the science before we ever started the company. We published the papers first. The company came second. We did it backwards, on purpose.
The problem. Here's what we kept seeing. One: AI is burning money — companies pay for mountains of processing they never even see. Two: AI can't explain itself, and "the computer said so" is not an answer a bank regulator or a hospital will accept. And three — the quiet one — criminals are copying encrypted data today, to unlock it the day quantum computers can break it. Banks keep records for fifteen years. That theft has effectively already started.
What we do. JAQL fixes all three — as a service. We cut your AI bill by up to seventy percent. We make every AI decision explainable, with an audit trail a regulator can read. And we make your data quantum-safe, before the threat arrives. No hardware to buy. No physicists to hire. It runs inside your own systems, and you're live in ninety days.
Why the jackal. We're named after the jackal — "JAQL." The jackal never charges a problem head-on. It listens, it tracks, it takes the smartest path and gets there first, using a fraction of the energy. That's exactly how our technology works: while ordinary systems charge in and burn through cost, JAQL finds the best route and wins quietly.
The close. The microwave went from a secret defence lab to every kitchen in twelve years. We're doing the same thing for quantum — making it ordinary, useful, and something you can simply switch on. If you run a bank, a hospital, a defence program, or you invest in deep tech — let's talk. Book a thirty-minute demo. We'll show you, on real data, in the first ten minutes. JAQL. Making quantum ordinary.