Premium GenAI Consulting • Boston
We take generative AI from strategy to production in regulated environments. Deployed systems with measurable ROI.
Why Gourmand
Senior practitioners with PhDs, MIT AI lecturing experience, and deep enterprise consulting heritage. Every engagement, every time.
No bait-and-switch. Senior practitioners with decades of enterprise delivery work directly on your project. No juniors, no handoffs.
We don’t do mobile apps, web dev, or legacy ML. Specialized GenAI practices only. Deep expertise, not diluted breadth.
Strategy through production deployment. We build, optimize, and operate the GenAI systems that move your business metrics.
Every engagement includes cost optimization. We audit cloud spend, right-size infrastructure, and eliminate waste before scaling. Your AI shouldn’t bankrupt your budget.
GenAI deployed in regulated environments across defense and finance. We understand governance, not just code.
Projects delivered across the US, UK, Germany, Qatar, and Australia. Enterprise-grade consulting with boutique attention.
Our Services
Each pillar is a dedicated practice with defined methodology, not a line item on a generic capabilities deck.
Strategy, use case discovery, POC development, production deployment, and change management in regulated environments.
Cloud cost audits, LLM inference optimization, model selection, GPU right-sizing, and token usage analytics. A rare dedicated practice.
AI-native development workflows, AI code review, agentic engineering, AI-assisted testing, and developer productivity transformation.
Enterprise-grade retrieval systems and intelligent knowledge bases. Vector store architecture, multi-source integration, governance, and evaluation rigor.
Rapid surgical intervention for AI-generated codebases. Senior architects diagnose, stabilize, and deploy your application to production with proper full-stack engineering.
Productized Engagements
Every engagement has defined outcomes and transparent pricing — whether a fixed-scope project or an ongoing advisory retainer.
Evaluate your organization’s GenAI readiness. Use case prioritization, technology landscape, and implementation roadmap. The ideal entry point.
Comprehensive cloud and AI cost audit. Model selection optimization, prompt engineering for cost reduction, and GPU right-sizing recommendations.
End-to-end RAG and knowledge system. Data pipeline, vector store, retrieval strategy, multi-source integration, governance, and production deployment.
Transform your engineering team’s development workflow. AI code review, agentic CI/CD, AI-assisted testing, and productivity benchmarking.
Embedded senior AI advisory. Strategy, vendor evaluation, architecture reviews, and executive stakeholder management on a retainer basis.
Your AI-generated app needs to go to production. Our senior architects perform triage, stabilize your codebase, harden security, and deploy — with a full diagnostic report and production-readiness roadmap.
Proven Results
Anonymized case studies from regulated environments. Real metrics, real outcomes.
Challenge: $40M annual cloud spend with no cost visibility, no chargeback model, and no optimization strategy in place.
Approach: Reserved instance optimization, automated shutdown schedules for underutilized resources, HPA rightsizing, and chargeback tagging across the entire platform.
Challenge: AI use cases taking 6+ months to reach production despite dedicated internal teams and significant investment.
Approach: Architected enterprise AI platform on AWS Bedrock with governance frameworks, PII/PHI guardrails, and compliance controls for classified operations.
Challenge: Legacy authentication across VPN, Zero Trust Client, and multiple identity providers creating daily friction for 2,000+ developers.
Approach: Engineered OAuth-based CLI authentication that replaced 5+ legacy tools. Hardened CI/CD pipelines deployed across 7 development teams.
Challenge: On-premises infrastructure unable to scale for algorithmic trading workloads. 500GB+ daily data pipelines with strict uptime requirements.
Approach: Led cloud-native migration to serverless and container orchestration. Codified 100% of infrastructure with Terraform. Built self-service CI/CD for research teams.
Heritage & Credentials
Our principals hold PhDs and advanced degrees in computer science, cybersecurity, and finance with decades of enterprise delivery.
Invited lecturers for multiple AI courses at MIT
Recognized thought leaders in cloud architecture
Industry keynotes and enterprise AI thought leadership
Entrepreneurship mentors for emerging tech startups
Start a Conversation
Book a discovery call with our principals. We'll assess your GenAI readiness, identify quick wins, and scope an engagement that moves your metrics.