DeepFrog is an applied AI research lab and consulting studio with offices in the India and UAE. We partner with enterprises to move models out of notebooks and into mission-critical production — and stand up the Centers of Excellence that keep them there.
Trusted by research teams, enterprises, and innovation leaders
A Three-Pillar Operating Model
Most AI initiatives stall between the lab and the enterprise. DeepFrog eliminates that gap with an integrated model combining applied research, strategic advisory, and a dedicated Center of Excellence.
Moving beyond the hype. We develop bespoke LLMs, computer vision systems, and predictive models tailored to your proprietary data environments.
From AI roadmap design to ethics and compliance — we help you navigate the transition from experimental pilots to production-grade deployment.
Don’t just adopt AI — institutionalize it. We build internal infrastructure, establish AIOps best practices, and upskill your teams for long-term autonomy.
Problem → Solution
We turn AI ambition into reality — with rigorous research, proven delivery playbooks, and a team that has shipped production systems at global enterprise scale.
Observed across Fortune 500 engagements
No clear AI strategy
Vague roadmaps turn AI into a side project rather than a business function.
POCs that never reach production
Over 80% of enterprise AI pilots never make it to live systems.
Data quality & infrastructure gaps
Fragmented pipelines and inconsistent labeling cripple model performance.
Lack of in-house AI expertise
Scarce talent, regulatory risk, and runaway cloud costs compound the problem.
DeepFrog Operating Model
A board-ready AI roadmap
Aligned to P&L outcomes, regulatory constraints, and a 12–24 month operating plan.
Production-grade AI systems
Engineered for reliability, observability, and auditable decisioning from day one.
Scalable data & model pipelines
AIOps/LLMOps stacks with reusable feature stores and lineage.
Embedded expertise via CoE
Research scientists and AI Engineers who stay with you until your team can own it.
Methodology
A proven operating playbook shaped by 120+ enterprise AI deployments across regulated, latency-sensitive, and high-stakes environments.
Weeks 1–2
Workshops with your business and data teams to identify high-impact AI opportunities, quantify ROI, and de-risk assumptions.
Weeks 3–6
Reference architectures, model selection, and solution blueprints reviewed by our research scientists and enterprise architects.
Weeks 6–14
Build, train, and validate models on your proprietary data with a continuous evaluation loop and human feedback.
Weeks 14–20
Productionize with observability, CI/CD for models, and integration into your existing tech stack — not next to it.
Ongoing
Monitor drift, retrain on fresh data, and hand over ownership to your internal AI Center of Excellence.
Technical Capabilities
We bring depth across the modern AI stack — from data and model research to governance and on-premise deployment.
Custom-trained, fine-tuned, and on-prem LLMs — including private RAG and agentic workflows.
Medical imaging, defect detection, and real-time edge vision running on GPU clusters or embedded devices.
Time-series forecasting, anomaly detection, and risk modeling for regulated environments.
CI/CD for models, feature stores, vector databases, and continuous evaluation pipelines.
Governed pipelines, lakehouse architectures, synthetic data, and privacy-preserving labeling.
EU AI Act readiness, model cards, audit trails, and board-level responsible AI reviews.
Model compression, quantization, and on-device inference for factory, IoT, and automotive.
RLHF, control systems, and simulation-based training for robotics and optimization.
Industry Expertise
From regulated financial services to mission-critical manufacturing, DeepFrog delivers solutions engineered for the constraints of your domain.
Industry Focus
Algorithmic fraud detection, AML, and automated compliance reporting.
Differentiator
An AI Center of Excellence is more than training — it's an operating system for innovation. DeepFrog embeds senior research scientists and AI Engineers to stand up the platforms, playbooks, and people that make your AI practice self-sustaining.
Reusable templates, feature stores, and evaluation harnesses that your teams can extend.
Model cards, lineage, bias testing, and EU AI Act / NIST AI RMF readiness.
Workshops, certifications, and shadow-teaming with DeepFrog scientists.
Private asset catalogs so your best work compounds instead of evaporating.
Secure, multi-tenant, and cloud/on-prem portable from day one.
Quarterly impact reviews tied to P&L and innovation metrics.
Real Impact, Not Just Experiments
Financial Services · European Tier-1 Bank
DeepFrog built a streaming transaction-risk model on the bank’s existing Kafka backbone, replacing a legacy rule engine. Precision lifted by 18 points and false positives dropped by 42%.
Retail & Commerce · Global Fashion Marketplace
We designed a two-tower recommendation system and a generative-AI merchandising assistant. The new stack unified 9 markets and enabled price-optimization at SKU level.
Healthcare · National Health Authority
A privacy-preserving vision model trained on federated datasets now pre-reads chest X-rays across 40 hospitals, routing critical cases to specialists in near real time.
Why DeepFrog
Enterprise leaders choose DeepFrog when they need more than a vendor — when they need a research partner with the discipline to ship.
Our team is composed of former university and industry researchers with peer-reviewed publications at NeurIPS, ICML, MICCAI, and CVPR.
Privacy-first architectures, on-prem / local LLMs, encrypted inference, and zero-retention by default for regulated environments.
We don’t just hand over slides and notebooks. We integrate into your existing stack and own the model lifecycle end-to-end.
Every engagement is governed by measurable business KPIs — revenue, cost, risk, time — reviewed with your exec team quarterly.
Knowledge Hub
A monthly briefing for CTOs and heads of AI — curated research, architectural patterns, and field notes. Written by our scientists, not marketers.
Frequently Asked
Didn't see your question? Ask our team directly.
Let's Build
Schedule a 30-minute discovery session with our Lead Research Scientists and get a custom-fit roadmap for your organization.