Build Custom Gen AI Solutions

Why Custom R&D Matters in the GenAI Era

Today’s AI leaders aren’t waiting for perfect vendor solutions. They’re:

• Prototyping new ideas before competitors catch up
• Testing advanced architectures like retrieval-augmented generation (RAG) or agentic workflows
• Tuning open-weight models to align with unique datasets
• Innovating on the edge, in secure environments, or within regulated industries

But doing this requires time, tools, and expertise—something many in-house teams don’t have on demand. That’s where we come in.

What Our R&D Services Offer

• Concept Validation: Explore early-stage ideas with lightweight experiments; define technical feasibility and initial value prop
• Prototype Development: Build testable AI modules in 2–4 week sprints; use custom prompts, embeddings, and workflows
• Emerging Tech Exploration: Evaluate tools like LLaMA 3, Mistral, GPT-4 Turbo, Claude, NeMo, and LangChain; assess fit for your infrastructure
• Performance Optimization: Run model compression, quantization, distillation; benchmark performance across models and tasks
• Domain-Specific Tuning: Fine-tune LLMs on proprietary data; train mini-models where full-size LLMs don’t fit

Real Innovation Stories

• A healthcare client created a HIPAA-compliant, on-prem medical summarization engine using open-source LLMs
• A financial firm validated multi-agent AI for claim triaging in less than 3 weeks
• A retail brand tested RAG-based product assistants using product catalogs and sales chat logs

Why GenAI Protos for Custom AI R&D?

• Deep LLM & GenAI experience across models, frameworks, and platforms
• Fast cycles, not long R&D timelines—we believe in results over theory
• Tool-agnostic mindset: GPT, Claude, LangChain, Transformers, custom APIs—we work with what’s best for you
• Embedded partnership—we co-create with your product, data, or engineering teams