DEEPFROG.SYSTEM SECURE
NODE / LDN-01
AI R&D LAB · CoE
v1.0.0-edge
0%
DEEPFROG
Applied AI R&D
INITIALIZING

Services

Research, advisory, engineering — one operating partner.

DeepFrog offers an integrated portfolio of AI services that move enterprises from experimentation to industrialized intelligence.

Applied AI R&D

Custom AI research and model development

We build bespoke large language models, computer-vision systems, and predictive models tailored to your proprietary data, infrastructure, and regulatory constraints.

  • Fine-tuned foundation models and private RAG systems
  • Custom computer vision pipelines (medical, industrial, document AI)
  • Forecasting, risk, and anomaly-detection systems
  • Agentic workflows and tool-using LLM orchestration
  • Peer-reviewed research and model cards
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Strategic Consulting

AI strategy, advisory, and compliance

From roadmap design to build-vs-buy decisions, our advisors help you move AI from a side project into a repeatable, governed business function.

  • Enterprise AI maturity assessments
  • Build-vs-buy and vendor due diligence
  • EU AI Act, NIST AI RMF, and ISO 42001 readiness
  • Business-case modeling and board-ready roadmaps
  • Fractional Chief AI Scientist engagements
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AI Center of Excellence

Institutionalize innovation

We stand up an internal operating system for AI — platforms, playbooks, and people — so your organization can build and govern models independently.

  • Standardized AIOps & LLMOps platforms
  • Reusable model, feature, and prompt libraries
  • Governance, bias, and responsible-AI frameworks
  • Executive education and engineer mentoring
  • Quarterly value measurement tied to P&L
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Managed AI Platform

Production-grade infrastructure

For enterprises that want DeepFrog to run the stack, we operate a managed AI platform with 99.9% SLOs, observability, and dedicated research support.

  • Hosted private LLM inference
  • Vector store, feature store, and prompt ops
  • Secure multi-tenant model serving
  • On-call research & SRE coverage
  • Continuous evaluation and drift monitoring
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AIOps & Governance

Reliability, observability, compliance

End-to-end AIOps and governance: model CI/CD, lineage, evaluation harnesses, and audit-ready documentation baked into every release.

  • CI/CD for models & prompts
  • Data and model lineage
  • Automated bias, safety, and red-team testing
  • Audit-ready model cards and evidence packs
  • Incident response & post-mortems
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