Services

Turn foundation models and large language models into useful, differentiated products. We work with leading commercial and open-source models while keeping your solution adaptable as the AI ecosystem evolves.

Agentic AI and AI Agent Development

Move from passive chatbots to AI systems capable of planning and completing work. We build goal-driven AI agents that can reason through tasks, select appropriate tools, retrieve information, execute actions, inspect results, and adjust their approach within defined business rules.

• Single-agent and multi-agent systems
• Agentic workflow automation
• Tool calling and API execution
• Planning and task decomposition
• Human-in-the-loop approvals
• Role-based agent permissions
• Agent memory and contextual personalization
• Multi-agent orchestration
• Long-running and event-driven workflows
• Model Context Protocol integrations
• Agent evaluation, tracing, and monitoring

Use cases include customer-service resolution, lead qualification, reporting, scheduling, procurement, document processing, operational monitoring, and internal knowledge assistance.

Generative AI and LLM Applications

We develop custom LLM applications for content generation, summarization, extraction, classification, conversational experiences, decision support, and workflow automation.

• Custom generative AI applications
• Enterprise AI copilots
• LLM-powered SaaS features
• Intelligent chat and conversational interfaces
• Prompt and context engineering
• Structured output generation
• Model selection and routing
• Fine-tuning and domain adaptation
• Private and open-source model deployment
• Token, latency, and inference-cost optimization

RAG and Enterprise Knowledge Systems

Give AI access to the information that makes your business unique. Retrieval-Augmented Generation grounds model responses in your company’s documents, databases, policies, product information, and historical knowledge.

• Enterprise knowledge assistants
• Semantic search systems
• Document question-answering platforms
• Vector search and hybrid retrieval
• Agentic RAG workflows
• Knowledge graph integrations
• Source citations and answer verification
• Permission-aware retrieval
• Document ingestion and indexing pipelines
• Retrieval quality evaluation

AI Automation and Tool Integration

An AI model becomes significantly more valuable when it can interact with the systems where work happens. Using secure tool interfaces and protocols such as MCP, agents can retrieve data, update records, trigger workflows, generate files, and complete approved actions.

• CRM and ERP systems
• Email and calendar platforms
• Help desks and ticketing systems
• Internal and third-party APIs
• SQL and NoSQL databases
• Cloud storage and document platforms
• E-commerce and payment systems
• Communication and collaboration tools
• Custom web and mobile applications
• IoT devices and operational platforms

Multimodal AI

Build intelligent experiences that understand more than text. Our multimodal AI solutions can process and combine text and documents, images and screenshots, voice and audio, video, tables and structured data, and sensor and IoT data.

Applications include voice agents, visual product search, image inspection, meeting intelligence, document understanding, media analysis, and accessible conversational interfaces.

Machine Learning and Predictive Analytics

Not every business problem needs a generative model. We build machine learning solutions that identify patterns, predict outcomes, detect anomalies, and support better decisions.

• Forecasting and demand prediction
• Recommendation engines
• Customer segmentation
• Churn and conversion prediction
• Fraud and anomaly detection
• Dynamic pricing models
• Sentiment and behavioral analysis
• Predictive maintenance
• Risk scoring
• Optimization systems

Computer Vision and Document Intelligence

Transform visual information into structured, actionable data.

• Object detection and classification
• Image recognition
• OCR and intelligent data extraction
• Document classification
• Invoice and receipt processing
• Quality-control inspection
• Visual search
• Face and identity verification
• Video analytics
• Medical or industrial image workflows

AI Engineering, MLOps and LLMOps

A successful demonstration is not the same as a reliable production system. Our AI engineers build the infrastructure required to deploy, evaluate, monitor, and improve AI applications at scale.

• AI architecture and solution design
• Model gateways and routing
• Agent runtimes and orchestration
• Prompt and model versioning
• Automated evaluation pipelines
• Observability and distributed tracing
• Hallucination and retrieval testing
• Model drift monitoring
• Caching and inference optimization
• CI/CD for AI applications
• Cloud and private deployments
• Security, governance, and audit trails