Practical AI applications built for e-commerce, customer service, and intelligent routing
AI that understands purchase intent, browsing patterns, and personal preference to surface the right products at the right moment. Trained on your catalog, tuned to your customers.
Agents that resolve multi-step support requests by querying account history, internal systems, and policies. The goal is resolution, not just response.
Intent classification that understands what customers want and routes them to the right handler instantly. No rigid keyword matching. No wrong queues.
The technical services that make production AI systems reliable, accurate, and scalable
Build intelligent agents that understand context, make decisions, and work autonomously to solve complex business challenges.
Advanced retrieval-augmented generation systems that leverage multiple specialized agents for superior accuracy and performance.
Tailored solutions designed specifically for your industry, workflows, and business objectives.
End-to-end data collection, labeling, and curation pipelines that produce high-quality training datasets for domain-specific models.
Rigorous evaluation frameworks, benchmarks, and red-teaming protocols to ensure your AI systems perform reliably in production.
Architecture, configuration, and optimization of vector stores — Pinecone, Weaviate, Qdrant, or pgvector — for fast semantic retrieval at scale.
Design and implement multi-agent workflows with task delegation, tool use, memory management, and inter-agent communication.
Real-time dashboards, drift detection, latency tracking, and automated alerts to keep your deployed models performing at their best.
Deep expertise across the sectors where AI creates the most impact
Enhance customer experiences with intelligent AI chat that understands purchase intent and surfaces the right products instantly.
Streamline document analysis and legal research with AI that understands legal context and surfaces relevant precedents in seconds.
Automate financial analysis and risk assessment with compliant AI that processes complex portfolios in real time.
Advanced retrieval-augmented generation pipeline with cutting-edge techniques
Structured data ingestion, cleaning, and normalization. We prepare your data for optimal embedding generation and retrieval performance.
State-of-the-art transformer models generate dense vector embeddings. We use advanced models like OpenAI embeddings, Cohere, or custom fine-tuned encoders for domain-specific accuracy.
Intelligent text segmentation using semantic boundaries, sentence transformers, and sliding window techniques. Optimized chunk sizes for maximum retrieval precision.
Combines dense vector search (semantic similarity) with sparse retrieval (BM25). Best of both worlds: semantic understanding and keyword precision for superior recall.
Dual retrieval approach: semantic search captures meaning and context, while BM25 handles exact keyword matches. Weighted combination ensures comprehensive coverage.
Generate hypothetical answers first, then retrieve based on those embeddings. This advanced technique improves retrieval quality by focusing on answer-relevant content.
Cross-encoder models re-rank initial retrieval results. Fine-tuned BERT, RoBERTa, or specialized re-rankers improve precision by understanding query-document relationships.
Structured metadata filtering with Neo4j, ArangoDB, or custom graph structures. Enables complex relationship queries, multi-hop reasoning, and contextual retrieval.
Internal AI Engine for legal professionals. Search through thousands of cases, analyze documents, and find precedents instantly.
Let's discuss how our AI solutions can drive real results for your organization.