AI Solutions Engineered for Production
From custom AI agents and private language models to machine learning pipelines and the infrastructure that runs them, we design, build and deploy AI that solves real business problems at scale.
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AI Agents
Purpose-built autonomous agents that handle scheduling, lead qualification, CRM workflows and customer communication 24/7 across any industry vertical.
ExploreLLM Architecture & Design
End-to-end architecture for LLM-powered systems, prompt engineering, RAG pipelines, fine-tuning strategies, guardrails and evaluation frameworks for production-grade AI.
ExplorePrivate LLM Development
Custom language models trained on your proprietary data, deployed on your infrastructure. Full data sovereignty with enterprise-grade security and compliance.
ExploreAI Tethering & Orchestration
Connect AI models to live data sources, APIs and business systems. Real-time grounding, tool use and multi-model orchestration for context-aware AI that acts on real-world information.
ExploreMachine Learning Applications
Custom ML models for prediction, classification, anomaly detection and recommendation, from data preparation and training through deployment and monitoring.
ExploreAI Infrastructure & MLOps
Production AI infrastructure covering model serving, GPU orchestration, CI/CD for ML, monitoring, A/B testing and automated retraining pipelines at scale.
ExploreHow We Deliver AI
AI Tech Stack
LLM Providers
- ▹ OpenAI / GPT-4
- ▹ Anthropic / Claude
- ▹ Meta / LLaMA
- ▹ Mistral / Mixtral
Frameworks
- ▹ LangChain
- ▹ LlamaIndex
- ▹ Haystack
- ▹ Semantic Kernel
ML & Training
- ▹ PyTorch
- ▹ TensorFlow
- ▹ Hugging Face
- ▹ scikit-learn
Vector & Search
- ▹ Pinecone
- ▹ Weaviate
- ▹ Chroma
- ▹ Elasticsearch
Infrastructure
- ▹ AWS SageMaker
- ▹ GCP Vertex AI
- ▹ Modal
- ▹ RunPod
MLOps
- ▹ MLflow
- ▹ Weights & Biases
- ▹ DVC
- ▹ BentoML
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