AI Development
Build AI-first features that make your product smarter, faster, and more intuitive.
Custom LLM integration, AI voice agents, recommendation engines, computer vision, and MLOps — deployed and production-ready.
WHAT WE BUILD
Custom LLM Integration
Integrate GPT-4, Claude, Llama, or custom models into your product. Prompt engineering, RAG pipelines, and fine-tuning for your domain.
AI Voice Agents
Build conversational AI voice agents for customer support, sales calls, telehealth, and automation. Real-time speech-to-text, LLM reasoning, and text-to-speech.
Recommendation Engines
Personalized recommendations, content discovery, and collaborative filtering systems that increase engagement and conversions.
Computer Vision
Image classification, object detection, OCR, facial recognition, and visual search for e-commerce, healthcare, and security.
Natural Language Processing
Sentiment analysis, text classification, entity extraction, summarization, and semantic search.
MLOps & Model Deployment
Model training, versioning, monitoring, A/B testing, and deployment pipelines on AWS, GCP, or Azure.
USE CASES
Customer Support Automation: AI chatbots and voice agents that handle common queries, reduce support costs, and improve response times.
Content Generation: Auto-generate product descriptions, marketing copy, reports, and summaries using LLMs.
Smart Search & Discovery: Semantic search, vector databases, and recommendation systems for e-commerce and content platforms.
Document Processing: Extract data from invoices, contracts, and forms using OCR and NLP.
Predictive Analytics: Forecast demand, churn, sales, and user behavior using machine learning models.
AI TECH STACK
LLMs
OpenAI, Anthropic Claude, Llama, Mistral, Custom models
Frameworks
LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch
Voice AI
Whisper, ElevenLabs, Google Speech, Azure Speech Services
Vector Databases
Pinecone, Weaviate, Qdrant, ChromaDB, pgvector
MLOps
MLflow, Kubeflow, Weights & Biases, SageMaker, Vertex AI
Computer Vision
YOLO, ResNet, OpenCV, Tesseract OCR, MediaPipe
OUR PROCESS
Week 1-2: Discovery & PoC
We understand your use case, evaluate models, and build a proof-of-concept to validate feasibility.
Week 3-6: Development & Training
Build the AI pipeline, fine-tune models, integrate with your product, and optimize for latency and cost.
Week 7+: Deployment & Monitoring
Deploy to production, set up monitoring, A/B testing, and continuous improvement based on real user data.
PRICING
Custom quotes based on model complexity, data volume, and integration requirements. PoC starting from $5K.
Monthly retainers available for ongoing model training, fine-tuning, and optimization.
Ready to Add AI to Your Product?
Book a call and we'll audit your use case, recommend the right AI approach, and build a proof-of-concept in 2 weeks.
Schedule a Call →