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
- • Multi-agent orchestration (LangGraph, CrewAI, MCP, tool use)
- • Alignment pipeline: SFT → DPO/ORPO → RLHF/RLAIF
- • Fine-tuning with LoRA/QLoRA and PEFT adapters
- • Vendor-neutral: GPT-4o/o3, Claude 3.5, Gemini 2.0, Llama, Mistral, DeepSeek
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, JAX, TensorFlow, scikit-learn, XGBoost, LightGBM
LLM & RAG
GPT-4o/o3, Claude 3.5, Llama, Mistral, DeepSeek, LangChain, LlamaIndex, LangGraph, CrewAI, MCP, vLLM, SGLang, TGI, Ragas, Langfuse
Model Customization & Alignment
SFT, LoRA/QLoRA, DPO, IPO, KTO, ORPO, RLHF, RLAIF, PEFT, TRL, Axolotl, Unsloth, LLaMA-Factory, DeepSpeed, FSDP
Data & Orchestration
Airflow, Prefect, Dagster, dbt, Spark, Ray, Snowflake, Databricks
MLOps & Cloud
Vertex AI, Bedrock, SageMaker, Azure AI Foundry, Kubernetes, Docker, Modal
Vector Databases
pgvector, Pinecone, Weaviate, Qdrant, Milvus, FAISS, Chroma
Monitoring
MLflow, Weights & Biases, Arize Phoenix, 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.