
Job–resume matching
LLM + RAG over a vector database matches candidates to roles with 90% accuracy and cuts screening time by 40%.
View case →Applied AI + software engineering + system integration. We take AI from idea or proof of concept to a production feature that runs inside your existing product, data and workflows.
Most teams know they need AI but get stuck between the demo and production. DanaExperts combines applied AI with full-stack engineering, so the model, the data pipeline, the interface and the integration are built by one senior team, measured on accuracy, latency and cost.

LLM + RAG over a vector database matches candidates to roles with 90% accuracy and cuts screening time by 40%.
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Real-time translation overlaid on the camera at 30 FPS, combining on-device and cloud AI.
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BeeStaff.ai: nine AI employees that research, write, design and follow up, with a human approving every output.
View case →We map the business problem, the data and the systems AI must plug into, and agree measurable targets.
A working prototype on your data, with a benchmark report and a production roadmap.
Two-week sprints to ship the feature into your product: models, pipelines, APIs, UI and cloud deployment.
Monitoring of accuracy, latency and token cost, plus warranty and ongoing improvements.
Two weeks to validate feasibility before you commit.
A defined feature delivered end to end with clear milestones.
Senior engineers who extend your team on your roadmap.
We sign an NDA before technical discussion and can design for private cloud, on-premise or zero-retention setups where required.
Grounded retrieval (RAG), citations, confidence thresholds and human review for high-risk outputs.
We estimate GPU and token costs during the pilot and reduce them with caching and model selection.
You get senior AI and software engineers from day one and a de-risked pilot, without waiting to hire a full team.
Tell us the problem and the data you have. We will come back with a pilot plan.
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