The AI Opportunity Is Real — But Execution Is Hard
Organizations are under immense pressure to "adopt AI." But without a clear strategy, most initiatives stall at the pilot stage, consume resources, and fail to scale. Data Googly bridges the gap between AI potential and business reality.
Our AI consultants have deployed machine learning systems across financial services, healthcare, retail, and manufacturing — with proven methodologies for getting from idea to impact.
Our AI Consulting Services
- AI Readiness Assessment — Evaluate your data infrastructure, talent, and organizational readiness for AI adoption.
- AI Strategy & Roadmap — Prioritize AI use cases by ROI potential and feasibility, then build a phased roadmap.
- Machine Learning Development — Custom ML model development, training, evaluation, and production deployment.
- Natural Language Processing — Chatbots, document intelligence, sentiment analysis, and language-based automation.
- Computer Vision Solutions — Image recognition, defect detection, video analytics, and visual quality control.
- Generative AI Integration — LLM implementation, prompt engineering, RAG pipelines, and enterprise AI assistants.
- MLOps & AI Governance — Build the infrastructure and processes to manage, monitor, and govern AI at scale.
- AI Ethics & Responsible AI — Bias auditing, explainability frameworks, and regulatory compliance support.
What Makes Our AI Practice Different
We don't sell technology — we solve problems. Our consultants start every engagement with a rigorous business case, ensuring every AI investment is tied to a specific, measurable outcome.
- Business-first approach — we define the value before we choose the model
- Full-stack capability from data engineering to production monitoring
- Vendor-agnostic — we recommend the best tool for your situation
- Team upskilling embedded in every engagement
- Proven track record across regulated industries
Case Study Highlights
Predictive Maintenance for Manufacturing: Built an ML pipeline that reduced unplanned downtime by 34% and saved $2.3M annually for a Fortune 500 manufacturer.
AI-Powered Credit Scoring: Developed a fair and explainable credit risk model that increased approval rates by 18% while maintaining regulatory compliance for a regional bank.
Intelligent Document Processing: Automated 85% of manual invoice processing for a logistics company, reducing processing time from 4 days to 4 hours.
Our AI Technology Stack
- Python, PyTorch, TensorFlow, Scikit-learn, HuggingFace
- OpenAI, Anthropic, Google Vertex AI, AWS SageMaker
- Databricks, Snowflake, Apache Spark, dbt
- MLflow, Weights & Biases, Evidently AI
- Kubernetes, Docker, FastAPI, REST/GraphQL