From AI Strategy
to Competitive Advantage.
We're operators who've built AI systems at scale and led teams that ship.
From strategy to production — we help companies get AI right.
Strategic Advisory
Turn AI Ambition into Competitive Advantage
Every company knows AI matters. Few know exactly where to start — or how to avoid costly missteps along the way. We work directly with leadership teams to cut through the noise and build AI strategies grounded in business reality, not hype.
With decades of experience building and deploying large sacale AI systems at companies like Meta, Google, Yahoo etc., we bring the operator's perspective to the boardroom.
AI Roadmap Development
We help you identify where AI will create real leverage in your business — not just where it sounds impressive. You'll walk away with a prioritized, actionable roadmap that aligns technical capabilities with business outcomes.
Build vs. Buy Decisions
Should you invest in custom ML infrastructure or leverage existing platforms? We evaluate the trade-offs specific to your scale, timeline, and strategic goals — saving you from expensive pivots down the road.
Vendor Evaluation
The AI vendor landscape is crowded and noisy. We assess cloud AI services, MLOps platforms, and foundation model providers against your actual requirements — not their marketing claims.
AI Governance & Risk Frameworks
Regulations are evolving fast. We help you build governance structures that protect your organization while preserving your ability to move quickly and innovate.
Your AI strategy should be a source of clarity, not confusion. Let's build one that actually works.
Technical Implementation & Architecture
From Proof of Concept to Production at Scale
The gap between a working prototype and a reliable production system is where most AI projects fail. Models that perform brilliantly in notebooks often crumble under real-world conditions — unpredictable data, latency requirements, and the relentless demands of scale.
We've built AI systems that serve millions of users. We know what breaks, what scales, and what separates demo-ready from production-ready.
Scalable ML Infrastructure & Data Pipelines
We design data architectures that feed your models reliably, efficiently, and at the scale your business demands. No more brittle pipelines that collapse under load.
MLOps & Model Deployment Architecture
Getting a model into production is just the beginning. We build deployment systems that support continuous training, monitoring, versioning, and rollback — so your models stay healthy long after launch.
Prototype to Production Migration
That promising proof of concept sitting on a data scientist's laptop? We'll help you transform it into a robust, maintainable system your engineering team can actually operate.
Performance Optimization & Cost Reduction
Inference costs can spiral quickly at scale. We optimize for latency, throughput, and cost — often achieving 10x improvements without sacrificing model quality.
AI that only works in the lab doesn't count. We build systems that perform when it matters.
Talent & Organizational Development
Build the Team That Builds the Future
The most sophisticated AI strategy means nothing without the right people to execute it. But hiring for AI roles is uniquely challenging — the field moves fast, titles are inconsistent, and it's hard to distinguish genuine expertise from well-rehearsed buzzwords.
We've spent years on both sides of the AI hiring table: building teams at scale and coaching engineers through the interview process. We know what great AI talent looks like and how to find it.
Upskilling Programs
Transform your existing engineering team into confident ML practitioners. Our hands-on training programs are designed for working engineers — practical, focused, and immediately applicable.
Interview Process Design
We build rigorous, fair interview processes that actually identify the skills you need. From rubric design to interviewer training, we'll help you hire with confidence and consistency.
Team Structure & Role Definition
ML Engineer, Research Scientist, Applied Scientist, MLOps Engineer — what do these roles actually mean for your organization? We help you define clear roles, career paths, and team structures that make sense for your stage and goals.
Custom Training & Workshops
Whether you need a deep dive on system design, a primer on LLMs for your product team, or hands-on MLOps training, we deliver focused workshops tailored to your team's specific needs.
Great AI teams don't happen by accident. We'll help you build yours intentionally.
Due Diligence & Assessment
Know What You're Actually Getting
AI capabilities are notoriously difficult to evaluate from the outside. Impressive demos can mask fragile systems. Bold claims often obscure technical debt. And assessing an organization's true AI maturity requires more than reading their pitch deck.
We provide the technical depth and operational experience needed to see past the surface. Whether you're evaluating an acquisition target, assessing an investment, or auditing your own systems, we give you clarity you can act on.
Technical Due Diligence
For M&A and investment decisions, we conduct rigorous technical assessments of AI companies and capabilities. We evaluate architecture, code quality, model performance, data assets, and team strength.
ML System Audits
We assess existing ML systems for quality, bias, technical debt, and operational risk. You'll receive a clear-eyed evaluation of what's working, what's fragile, and what needs attention.
AI Readiness & Maturity Assessment
Is your organization actually ready to adopt AI at scale? We evaluate your data infrastructure, team capabilities, processes, and culture — then provide a concrete roadmap for closing the gaps.
In AI, what you don't know can be expensive. We help you find out before it's too late.
Applied AI Problem Solving
Unblock, Prototype, and Move Forward
Sometimes you don't need a six-month engagement. You need an experienced AI practitioner to help you get unstuck, validate an approach, or build a quick proof of concept that informs a bigger decision.
We offer focused, short-term engagements designed to deliver immediate value. No lengthy discovery phases. No unnecessary overhead. Just experienced hands solving real problems.
Technical Unblocking
Stuck on a specific ML challenge? We parachute in, diagnose the issue, and help your team find a path forward — often in days, not weeks.
Prototyping & Proof of Concept
Before committing to a major initiative, validate your assumptions with a rapid prototype. We build focused POCs that answer the questions that matter most.
System Design Reviews
Get an experienced second opinion on your ML architecture before you build. We review proposed designs, identify potential issues, and suggest improvements — helping you avoid costly mistakes.
Not every problem needs a big engagement. Sometimes you just need the right expertise at the right moment.
Agentic AI
Beyond Chatbots: AI That Actually Gets Work Done
The next wave of AI isn't about better answers — it's about autonomous action. Agentic AI systems can reason through complex tasks, use tools, make decisions, and execute multi-step workflows with minimal human intervention. They're not waiting for prompts. They're completing work.
But the gap between an impressive agent demo and a reliable production system is vast. Agents that work perfectly in controlled environments often fail unpredictably in the real world — hallucinating actions, getting stuck in loops, or making decisions you can't explain to your compliance team.
We've been building autonomous AI systems since before “agentic” became a buzzword. We know how to design agents that are capable, controllable, and actually ready for enterprise deployment.
Agentic Architecture Design
We help you design agent systems that balance autonomy with oversight. From single-agent workflows to complex multi-agent orchestration, we architect solutions that are powerful enough to be useful and constrained enough to be trusted.
Tool & API Integration
Agents are only as capable as the tools they can use. We design robust tool-calling frameworks, handle authentication and error recovery, and build the infrastructure that lets your agents interact safely with internal systems, databases, and external APIs.
Human-in-the-Loop Workflows
Full autonomy isn't always the goal. We design intelligent handoff points, approval gates, and escalation paths that keep humans in control of high-stakes decisions while letting agents handle the rest.
Evaluation & Testing Frameworks
How do you know if your agent actually works? We build comprehensive evaluation systems that test agent behavior across edge cases, measure reliability, and catch failure modes before your users do.
Guardrails & Safety Systems
Autonomous systems need boundaries. We implement output validation, action constraints, monitoring systems, and circuit breakers that prevent agents from going off the rails — without crippling their usefulness.
Use Case Identification & Prioritization
Not every workflow should be agentic. We help you identify where autonomous AI will create real value versus where simpler approaches work better — so you invest in agents that actually pay off.
The future of AI isn't just smarter models — it's AI that takes action. We'll help you build agents you can actually deploy.
Common Agentic AI Engagements
Where Agents Create Real Value
Enterprise Workflow Automation
Transform complex, multi-step business processes into autonomous agent workflows. From document processing to customer operations, we design agents that handle the work your team shouldn't be doing manually.
Internal Copilots & Assistants
Build AI assistants that go beyond Q&A — agents that can query your systems, draft documents, schedule meetings, update records, and execute tasks on behalf of your employees.
Customer-Facing Agent Systems
Design autonomous agents that can resolve customer issues end-to-end: investigating problems, taking corrective actions, and communicating resolutions — without routing to a human unless truly necessary.
Code & Development Agents
Implement AI agents that can write, test, debug, and deploy code. We help engineering teams adopt agentic coding tools effectively and build custom agents tailored to your development workflows.
Research & Analysis Agents
Build agents that can autonomously gather information, synthesize findings, and produce structured outputs — turning hours of manual research into minutes of supervised review.
About
About Quantific.AI
We're operators who've built AI systems at scale and led teams that ship.
Our team combines decades of hands-on AI experience across the industry's most demanding environments — building large-scale ML systems at companies like Meta, leading engineering organizations at Yahoo, and shipping AI products used by billions (yes, billions with a 'B').
Our expertise spans the full AI lifecycle: from data infrastructure and model development to MLOps, deployment at scale, and agentic AI systems. We've led technical due diligence for high-stakes acquisitions, built governance frameworks for responsible AI, and designed interview processes that have shaped world-class teams.
We've been in the room when things break at 2 AM. We've made the build-vs-buy decisions. We've collectively hired hundreds of AI engineers and know what separates the exceptional from the adequate.
We work with companies that are serious about AI — not as a buzzword, but as a core capability. If that's you, let's talk.
Ready to get AI right?
We work with companies that are serious about AI. If you're looking for experienced operators — not slide decks — let's talk.