Solutions

Machine Learning & NLP

Turn data into outcomes: modern ML platforms, LLM/RAG systems, and productionized models with rigorous evaluation and governance.

Our Capabilities Talk to an Expert

Build AI that ships and sticks

We design outcome-first ML solutions—covering data pipelines, model development, LLM orchestration, evaluation, and MLOps—so teams can safely deploy AI into real products and processes.

  • AI strategy, use-case discovery, and value modeling.
  • Data engineering: ingestion, labeling, and feature stores.
  • LLM & RAG systems with retrieval, tools, and guardrails.
  • Classical ML and deep learning for tabular, text, and vision.
  • MLOps: CI/CD for models, monitoring, drift & governance.
What we do

Core Capabilities

AI Strategy & Roadmaps

  • Use-case selection
  • ROI & risk modeling
  • Operating models

Data & Feature Engineering

  • ETL/ELT pipelines
  • Vector DBs & feature stores
  • Quality & governance

Model Development

  • Classification & forecasting
  • NLP/ASR/NER/Summarization
  • Computer vision

LLMs, RAG & Agents

  • Retrieval & tool use
  • Prompt & system design
  • Safety & policy guards

Eval, Monitoring & QA

  • Human & automated eval
  • Drift & bias tracking
  • Observability & SLOs

MLOps & Deployment

  • CI/CD for models
  • Real-time & batch serving
  • Cost & performance tuning
How we work

Proven Approach

  1. 1

    Discover

    Use-case triage, data audit, success metrics.

  2. 2

    Prepare

    Pipelines, labeling, features, baseline models.

  3. 3

    Build

    LLM/RAG or ML models, evaluation & guardrails.

  4. 4

    Operate

    Deploy, monitor, iterate—own the SLOs and ROI.

Case Snapshot: LLM Helpdesk with RAG

Enterprise Support • 80K docs • 92% containment

  • Indexed knowledge base with chunking, embeddings & feedback loops.
  • Built evaluator harness (factuality, safety, latency, cost).
  • Reduced median handle time by 41% and ticket deflection 2.4×.
Code on screen representing machine learning and NLP production systems
Ecosystem

Platforms & Tools

PyTorchTensorFlowscikit-learn Hugging FaceTransformersLangChain MLflowWeights & BiasesVertex AI SageMakerAzure MLAirflow SparkKafkaKubernetes SnowflakePostgreSQLElasticsearch

Ready to bring ML & NLP into production?