Kompact AI FinBox delivers full-scale AI inference for banks, NBFCs, and other financial institutions. Run text, speech, vision, and multimodal AI on the CPUs you already own. Private, compliant, and deployable in minutes. On-prem, cloud, or edge. No additional power draw. No NEW Power.
RUN AI ON MY INFRASTRUCTURE
Runs on any CPU you already own
Intel, AMD, or ARM, on store servers, back-office workstations, warehouse systems, or cloud tenancy. No new infrastructure required.
Customer and transaction data stays yours
Every input, output, and log stays within your environment. Full ownership of customer data, purchase history, and business intelligence, no third-party access.
Complaint by Design
Built to align with RBI guidelines, DPDP, GDPR, SEBI regulations, and institutional data governance policies. AI that works within your compliance framework.
No AI Opacity
Know exactly which model ran, which version produced which output, and what happened at every step. Full traceability for audit, risk, and regulatory review.
Financial institutions operate under the strictest data governance frameworks in the world. Yet most AI platforms require customer records, transaction data, and risk assessments to be processed on external infrastructure — creating compliance exposure, data sovereignty gaps, and audit vulnerabilities that are difficult to justify to regulators.
FinBox eliminates that exposure entirely. Every model runs within your own infrastructure. Every inference, every output, every log stays inside your perimeter — fully auditable, fully sovereign, fully yours.
New to FinBox? These videos cover the full picture, what FinBox is built for, what it can do, and how to deploy it. A good watch before
your team writes a single line of integration code.
FinBox runs text, speech, vision, and multimodal models — on-premise, on cloud, or on edge — all
configurable to your institution's workflows. Every workload stays within your perimeter.
Run real-time AI models on transaction streams to flag anomalies, detect fraud patterns, and trigger escalations — entirely within your infrastructure, at the speed your operations demand.
e.g. A mid-size NBFC runs continuous transaction scoring on 50,000 daily transactions on existing infrastructure, zero data sent externally.
Process loan applications, financial histories, and behavioural data through AI models without customer data ever leaving your environment.
e.g. A retail bank deploys a credit scoring model on its internal servers, reducing turnaround time on personal loan decisions from days to minutes.
Automate extraction, verification, and classification of identity documents, financial statements, and compliance paperwork, at scale.
e.g. FinBox processes PII documents verification completely securely. No document images sent to external OCR services.
Deploy multilingual AI assistants for customer queries, account management, and financial guidance, trained on your products, running on your infrastructure, answering in your customer's language.
e.g. A bank deploys a customer-facing assistant that handles account queries in Hindi, Tamil, English, French, German and many more languages - on their own servers.
Automate generation of regulatory reports, audit trails, and compliance summaries from internal data — with full traceability of every AI output.
e.g. A compliance team uses FinBox to generate RBI reporting summaries from internal transaction logs, fully auditable, model version tracked.
Run complex risk models and portfolio analysis workloads on existing CPU infrastructure, faster iterations, no data leaving the institution, no cloud costs scaling with compute.
e.g. A treasury team runs daily portfolio stress tests on self owned infrastructure.
From first install to production deployment, every step is walked through on video. Whether you're integrating via REST or an SDK, configuring multi-tenancy across business units, or scaling inference across NUMA nodes, you'll find a dedicated walkthrough covering it end to end.
FinBox is filtered and configured for banking and finance. Every capability carries the same privacy and performance guarantees.
Works on Intel AMX, AVX-512, ARM SVX, and AMD processors. CPUs already in your data centres and branch servers or branch workstations. No specialised hardware. NUMA-aware for multi-socket systems.
FinBox runs on Intel AMX/AVX and ARM SVX CPUs with NUMA-aware optimization.
FinBox is built for environments governed by RBI, SEBI, DPDP, GDPR, and equivalent frameworks.
Every model interaction is logged. Every output is traceable to the exact model version that produced it. Essential for internal audit, regulatory review, and risk governance.
Serve retail banking, corporate banking, risk, compliance, and operations from a single deployment with built-in JWT-based access isolation. Each unit gets its own access, visibility, and usage controls.
Low-latency AI responses suitable for fraud detection, transaction scoring, and live customer interactions
your existing core banking, CRM, and risk systems using OpenAI-compatible REST APIs and SDKs in Java, C#, Python, JavaScript, Kotlin, C++, and Rust.
CPU-based inference runs on already-allocated data centre power. No new load on your infrastructure, no additional energy budget required.
Kompact AI delivers 2x higher performance than any other AI inference software, on the same hardware you already own.
Across long financial documents, multi-turn customer conversations, and extended analytical workflows.
All processing, model inference, input handling, output generation, happens inside your network. Patient data is never sent to Kompact AI or any third party.
Customers data is never used to retrain or improve any model. Customer and institutional data stays within your environment.
AuthN and AuthZ built in. Control exactly which teams and systems can access which models and outputs.
Every AI output is traceable to the exact model version that produced it. Every interaction is logged. Full audit trail for regulatory review, internal governance, and risk accountability.
By keeping all AI workloads within your controlled network, FinBox helps you operate in alignment with RBI guidelines, SEBI regulations, DPDP, GDPR, and equivalent frameworks — without Kompact AI ever seeing or storing customer or institutional data.
The architecture is simple: your data stays with you, your models run in your environment, and your regulators have nothing to question.
FinBox runs entirely within your environment — on Intel, AMD, or ARM processors, across Ubuntu, Red Hat, CentOS, Fedora, and Suse. All inputs, model outputs, and logs stay inside your network regardless of the underlying hardware or OS. Kompact AI never receives or stores any customer or institutional data.
By keeping all AI workloads within your controlled network, FinBox supports alignment with RBI data localisation requirements, SEBI guidelines, and equivalent frameworks. Every model interaction is logged and traceable, giving your compliance and audit teams a complete record of every AI output.
Yes. FinBox delivers low-latency inference suitable for real-time transaction scoring, anomaly detection, and fraud flagging — without the round-trip delay of an external cloud API.
Yes. FinBox supports multi-tenancy through built-in JWT tokens. Retail banking, corporate banking, risk, compliance, and operations can each access isolated model instances from a single deployment.
FinBox exposes an OpenAI-compatible REST API, enabling integration with most modern core banking, CRM, and risk platforms without bespoke engineering. SDKs are available in Java, C#, JavaScript, Python, and more.
FinBox runs on existing CPU infrastructure with no additional power draw and no per-query cloud billing. Licensing scales with your deployment. No capital expenditure on hardware required.
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