Track 03 · AI Services

AI Services

AI engineering services for agentic systems, generative AI, LLM integration, machine learning, computer vision, and production model deployment.

Explore the services

Track direction

Agents, LLMs, machine learning, computer vision, and MLOps.

5 focused services, connected by one delivery discipline.

Track services

Services in this lane

Choose the service that most closely matches the immediate decision or system change. Related work can be combined into one engagement when the boundaries overlap.

Focused Options

05

Services in the ai services track.

We design AI agents and multi-agent systems that use tools, search, APIs, workflows, and human oversight to complete complex tasks.

Useful When

  • Teams automating research, support, operations, or back-office workflows
  • Products that need AI to call tools or APIs
  • Organizations experimenting with multi-step AI workflows

Typical Deliverables

  • Agent workflow design
  • Tool and API integration
  • Memory, retrieval, and state handling where appropriate

We build RAG pipelines, AI copilots, document intelligence, knowledge retrieval systems, fine-tuning workflows, and enterprise LLM integrations.

Useful When

  • Companies building internal knowledge assistants
  • Products adding AI copilots or document intelligence
  • Teams automating content, support, research, or analysis workflows

Typical Deliverables

  • LLM integration architecture
  • Retrieval and vector-search pipeline
  • Prompt, context, and structured-output design

We build classification, forecasting, anomaly detection, recommendation, NLP, and predictive analytics systems for real business use cases.

Useful When

  • Teams with historical data and a decision to improve
  • Organizations needing forecasting, classification, or anomaly detection
  • Products adding prediction or personalization

Typical Deliverables

  • Data readiness assessment
  • Baseline and improved models
  • Evaluation metrics and validation report

We develop object detection, image classification, OCR, video analytics, quality inspection, and visual intelligence systems.

Useful When

  • Companies automating visual inspection or counting
  • Teams extracting information from images or documents
  • Operations that need video analytics

Typical Deliverables

  • Vision use-case and dataset plan
  • Labeling guidance and model development
  • Object detection, OCR, or classification pipeline

We build model serving, monitoring, versioning, retraining, evaluation, and ML infrastructure for production AI systems.

Useful When

  • Teams with models stuck in notebooks
  • Products that need model APIs or batch inference
  • Organizations worried about drift and monitoring

Typical Deliverables

  • Model serving architecture
  • Versioning and deployment pipeline
  • Monitoring and alerting setup

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