DhakmaAI

DhakmaAI delivers an on-prem, fully private AI stack. Core and Edge work together for document Q&A, edge-side analytics and audit trails—letting highly-regulated industries run controlled AI entirely on-site.

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DhakmaAIon-prem AI deploymentprivate RAG document Q&Aair-gapped enterprise AIedge AI real-time analyticshigh-compliance AI solutionCore-Edge unified architecture

Features of DhakmaAI

Dhakma Core acts as the on-prem AI hub for secure knowledge retrieval and management.

Private RAG document Q&A returns answers with page-level citations and confidence scores.

Logs every query, document access and system event for full internal auditability.

Supports air-gapped installs and local data residency—minimal cloud touch.

Centrally manages Edge devices and pushes updates to keep on-site AI in sync.

Dhakma Edge runs real-time inference offline, perfect for low-bandwidth or disconnected sites.

Turn-key bundles include Raspberry Pi 5, Hailo-8L and other inference hardware.

Ready connectors for DMS, CRM, SharePoint and internal databases.

End-to-end delivery: hardware, software, deployment, training and support.

Scales from single appliance to multi-node clusters to match any local compute need.

Use Cases of DhakmaAI

Legal teams query contracts and case law inside the secure network—no sensitive data leaves.

Hospitals retrieve internal protocols via private deployment while maintaining full traceability.

Finance and audit teams replay every search and document open during compliance reviews.

Factories run on-site video & sensor analytics on Edge, cutting cloud-upload costs.

Remote sites keep basic AI running even when the uplink is down.

Pilot AI projects start with Edge boxes, then add Core for larger retraining and governance.

IT plugs AI into existing CRM, DMS or database to build an internal knowledge assistant.

Data-sovereign organizations replace select cloud workloads with a fully local stack.

FAQ about DhakmaAI

QWhat is DhakmaAI?

DhakmaAI is an on-prem AI platform built for private environments. Core + Edge architecture handles local Q&A, edge analytics and device management in one stack.

QWhich industries is DhakmaAI designed for?

Legal, healthcare, finance, defense, energy—any sector that demands strict data control and full audit trails.

QWhat do Core and Edge each do?

Core hosts retrieval, management, updates and private retraining; Edge handles live sensing and inference on the ground. Together they form a closed, secure loop.

QCan DhakmaAI answer questions about my local documents?

Yes. Core runs private RAG Q&A and shows exact page references plus confidence scores for easy verification.

QWill it integrate with our existing systems?

Connectors are available for DMS, CRM, SharePoint and internal databases; exact scope is confirmed per project.

QWhat deployment options are offered?

Remote or on-site installation, plus full turn-key packages that cover hardware, software, training and maintenance.

QHow much does DhakmaAI cost?

Public figures list Core from ~US$35 k, pilot bundles from ~US$28 k and Core Pro from ~US$65 k; final pricing is quotation-based.

QHow does DhakmaAI protect privacy and data control?

Local data residency, optional air-gapping and minimal cloud dependency keep all models and data under your physical control.

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