AI Configuration & Integration
From model to production. Seamlessly.
Choosing an AI model is the easy part. Making it work reliably in your production environment — integrated with your data, your APIs, and your user experience — is where most projects fail. We make AI integration predictable and production-grade.
Core Capabilities
Prompt Engineering & Optimization
Systematic prompt design, few-shot examples, and chain-of-thought strategies for consistent outputs.
API Integration & Orchestration
Connect AI capabilities to your existing platforms, CRMs, ERPs, and custom applications.
Model Evaluation & Selection
Rigorous benchmarking of GPT-4, Claude, Gemini, and open-source models against your specific requirements.
Fine-Tuning & Customization
Domain-specific fine-tuning on your proprietary data for significantly improved accuracy.
Production-Grade Deployment
Latency-optimized, cost-efficient AI deployments with rate limiting, caching, and fallback logic.
Safety & Guardrails
Output filtering, PII detection, content moderation, and policy enforcement for responsible AI.
Our Process
Requirements Mapping
Define the AI task, success criteria, latency requirements, and cost budget.
Model Selection & Benchmarking
Run structured evaluations across candidate models and configurations.
Integration Engineering
Build the integration layer, caching strategy, and API orchestration.
Production Hardening
Load testing, monitoring, alerting, and cost dashboards before go-live.
What You Can Expect
Technologies We Use
Legal Tech Platform — AI Contract Review at Scale
We integrated GPT-4 into a legal tech platform to automate contract review, reducing average review time from 4 hours to under 15 minutes with 94% accuracy on clause extraction.
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