AI/ML services for regulated industries
We deliver production-ready AI systems for BFSI, Healthcare, Pharma, Manufacturing, Media, Energy, and Retail. Compliance-first, security-hardened, and built to scale.
What we build
Outcome-focused AI/ML delivery
LLM Apps & Agents (RAG)
- • Retrieval-augmented generation with hybrid search (BM25 + embeddings)
- • Reranking, citations, and source attribution
- • Guardrails, red-teaming, and safety evaluation
- • Prompt engineering, tool use, and memory
- • Fine-tuning & LoRA adapters for domain models
- • Vendor-neutral: OpenAI, Anthropic, Mistral, Llama
MLOps & AI Platforms
- • CI/CD for ML: testing, versioning, deployment automation
- • Feature stores and data validation
- • Experiment tracking and reproducibility
- • Model registry with approval workflows
- • Canary deployments, shadow mode, A/B testing
- • Autoscaling, cost optimization, performance tuning
- • Observability: drift detection, performance monitoring
NLP & Intelligent Search
- • Text classification and sentiment analysis
- • Summarization and key phrase extraction
- • Named entity recognition (NER)
- • Topic modeling and document clustering
- • Semantic + keyword hybrid search
- • Multilingual NLP for global teams
- • Search analytics and relevance tuning
Computer Vision
- • Object detection and classification
- • Image segmentation and analysis
- • OCR and document understanding
- • Document AI for invoice/form processing
- • Quality control and defect detection
- • Edge deployment for low-latency inference
- • Cloud-based batch processing
Forecasting & Recommendations
- • Time-series forecasting (demand, sales, inventory)
- • Dynamic pricing and revenue optimization
- • Churn prediction and retention modeling
- • Recommendation engines and personalization
- • Anomaly detection for fraud and outliers
- • Causal inference and experimentation
Data Engineering & Pipelines
- • ETL/ELT pipeline design and orchestration
- • Data warehousing (Snowflake, BigQuery, Databricks)
- • Data governance, quality, and observability
- • Vector database integration and ETL
- • Streaming data pipelines (Kafka, Spark)
- • Data lake architecture and optimization
Technology stack
Modern, battle-tested tools
Frameworks
Python, PyTorch, TensorFlow, JAX, scikit-learn, XGBoost, LightGBM
LLM & RAG
LangChain, LlamaIndex, OpenAI, Anthropic, Mistral, vLLM, TGI
Data & Orchestration
Airflow, Prefect, dbt, Spark, Ray, Snowflake, Databricks
MLOps & Cloud
Vertex AI, Bedrock, SageMaker, Azure AI, Kubernetes, Docker
Vector Databases
pgvector, Pinecone, Weaviate, Qdrant, FAISS, Chroma
Monitoring
MLflow, Weights & Biases, Prometheus, Grafana, DataDog
Search
Elasticsearch, OpenSearch, Algolia, Typesense
Warehouses
BigQuery, Snowflake, Redshift, Databricks, ClickHouse
Why teams choose us
Speed, quality, and compliance in equal measure
Ship in weeks, not months
Production-ready systems delivered in 6-12 weeks. No 6-month research projects.
Compliance-first engineering
SOC 2, HIPAA, PCI-DSS, GDPR. Audit trails, model versioning, explainability built-in.
Your data stays yours
On-prem, private cloud, or VPC deployments. No vendor lock-in.
Production-grade from day 1
No prototypes. Every delivery includes monitoring, testing, CI/CD, and documentation.
Transparent metrics
Track model performance, costs, and business impact. No black boxes.
Skip the hiring headache
Get senior ML engineers without 6-month hiring cycles. Scale up or down as needed.
Ready to ship AI that works?
Book a free consultation to discuss your project. We'll show you what's possible in your timeline and budget.