Artificial Intelligence & LLM Product Development
We build intelligent product features, conversational AI agents, and RAG pipelines that solve real user problems without hallucination or latency issues.
Specialized engineering deliverables
Agentic AI & Autonomous Workflows
Multi-agent systems using LangChain, AutoGen, and custom Python orchestrators that execute multi-step business tasks autonomously.
RAG & Vector Knowledge Bases
Retrieval-augmented generation grounded in proprietary enterprise documentation with Pinecone, Qdrant, and hybrid search.
Clinical & Enterprise AI Guardrails
Safety filters, hallucination evaluation, sentiment analysis, and compliance protocols for regulated industries.
Speech AI & Voice Assistants
Low-latency Whisper speech-to-text, natural TTS voice synthesis, and real-time duplex voice conversations.
Computer Vision & Pose Estimation
On-device camera processing with MediaPipe, YOLO, and CoreML for motion tracking, rep counting, and document parsing.
LLM Fine-Tuning & Cost Optimization
Distilling large frontier models into cost-efficient fine-tuned smaller models (Llama 3, Mistral) to reduce token costs by up to 80%.
Frequently asked questions
We implement strict RAG retrieval boundaries, structured output formatting (JSON Schema), semantic validation layers, and automated evaluation harnesses.
Yes, we deploy quantized CoreML and ONNX models on-device for real-time inference without cloud latency or connectivity requirements.
Ready to build with Ponder Data?
Connect with our senior engineering team to scope your technical requirements and receive a formal estimate.
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