AI Development Services That Drive Real, Measurable Business Outcomes
From custom LLM fine-tuning to enterprise AI agents — research-backed, production-ready.
Intelligence As Architecture
AI Agent Development
Autonomous, goal-oriented agents capable of complex multi-step reasoning, tool usage, and API integrations to automate entire business workflows.
RAG Platform Development
Advanced Retrieval-Augmented Generation systems integrating graph databases, hybrid search, and deterministic guardrails for hallucination-free enterprise search.
LLM Fine-tuning & Alignment
Customizing foundation models (Llama 3, Mistral) on your proprietary datasets using PEFT/LoRA to maintain absolute data privacy and domain expertise.
Conversational AI Chatbots
Context-aware, conversational interfaces that understand intent, maintain long-term memory, and seamlessly hand off to human agents when required.
AI Copilot Development
Internal workflow assistants embedded directly into your SaaS or enterprise software, increasing employee productivity by 40% on average.
Generative AI Applications
End-to-end bespoke applications leveraging multimodal generative models for content creation, code generation, and complex data synthesis.
How We Ship Intelligence
Week 1–2: AI Readiness Assessment
We analyze your infrastructure, data maturity, and business objectives to determine if AI is the right solution, mapping out a high-ROI use case.
Week 2–3: Data Audit
Our data engineers assess the quality, volume, and structure of your datasets, performing necessary cleaning and establishing secure pipelines.
Week 3–5: Baseline & Benchmark
We establish baseline performance metrics using off-the-shelf models and set strict evaluation criteria for accuracy, latency, and cost.
Week 5–10: Development
Iterative model training, prompt engineering, and RAG architecture development. We deploy early versions to internal staging for continuous feedback.
Week 10–12: Security Review
Rigorous red-teaming, prompt injection testing, and constitutional AI guardrail implementation to ensure the system is enterprise-safe.
Ongoing: MLOps & Iteration
Deployment alongside automated CI/CD pipelines. We monitor for data drift, continuously fine-tune based on user interactions, and manage scaling.
The Tools We Trust in Production
We remain stack-agnostic, choosing the right combination of state-of-the-art research models and bulletproof enterprise engineering tools for every project.
AI / ML Frameworks
LLMs & Orchestration
Vector Databases
Cloud & MLOps
Backend & Data
Frontend & Mobile
Sector-Specific Intelligence,
Proven Results
Deployed Systems
Automated Underwriting Agent
Reduced loan processing time from 3 days to 4 hours by building an agentic workflow that analyzes thousands of financial documents simultaneously.
Legal Contract RAG
Developed a secure, air-gapped RAG system over 5M+ legacy contracts, allowing associates to query clauses with citations in seconds.
Customer Intent Analyzer
Fine-tuned Llama 3 to triage incoming support tickets across 14 languages, automatically routing high-churn risks to human retention teams.
Common Questions
Everything you need to know about our research methodology, engagement models, and AI engineering practices.
Off-the-shelf models hallucinate, lack domain-specific knowledge, and pose massive data privacy risks. Custom development ensures the model operates strictly on your ground truth data within your secure VPC, with guardrails tailored to your compliance needs.