AI Tooling
Custom AI tools that fit your workflows, from internal copilots to decision intelligence dashboards.
- Product discovery + UX
- LLM workflow design
- Rapid prototyping
New era of applied AI
AI tools + ML systems + data science
Turn messy data into clear, deployable AI.
QuantafiAI helps ambitious teams design, build, and ship AI products grounded in real workflows. We blend strategy, experimentation, and production engineering so AI delivers value from day one.
Where serious operators go to get AI right.
6-8 weeks
from prototype to pilot
Human-first
workflows and tool design
Risk-aware
model governance by default
Signal Studio
Live
Operational AI Roadmap
A sprint-by-sprint plan to move from data audit to measurable impact, with stakeholder checkpoints built in.
- Use-case discovery
- Model + tooling blueprint
- Pilot deployment
About the Founder
Minh P., Founder and CEO
PhD-trained data scientist and economist focused on practical AI delivery.
Minh P. is the Founder and CEO of QuantafiAI. He is a PhD-trained data scientist and economist with over 10+ years of experience delivering AI tools, machine learning systems, and data governance programs. He has published many scientific papers across economics, finance, and applied data science.
He led advanced analytics at the largest investment trust fund in the world in its space and a global enterprise, building AI agents, pricing engines, and optimization models that guided large-scale investment and network decisions.
His background includes research and teaching in economics and finance, with deep focus in econometrics, causal inference, and applied machine learning.
Capabilities
Build the right AI tools, not just flashy demos.
ML Engineering
Production-ready machine learning systems with monitoring, guardrails, and evaluation baked in.
- Model selection + training
- MLOps pipelines
- Deployment + monitoring
Data Science Advisory
Strategic guidance for teams navigating data maturity, experimentation, and AI adoption.
- Data audits + strategy
- Experiment design
- AI governance
Our Approach
A clear, repeatable path to AI impact.
01
Align
Define the business goal, success metrics, and decision owners.
02
Design
Create the data, model, and tooling blueprint with your team.
03
Build
Ship a pilot with real users, feedback loops, and guardrails.
04
Scale
Operationalize with monitoring, enablement, and documentation.
Insights
Delivery discipline you can measure.
Efficiency and quality targets
We align on measurable outcomes so leaders can track efficiency, quality, and adoption in real time, not at the end of the project.
Time to pilot
6-8 weeks
From discovery to live workflow
Decision latency
-40%
Reduction in manual turnaround time
Quality coverage
90%+
Critical data sources validated
Custom tooling
3-5 flows
Core workflows per team
Model evaluation
Weekly
Performance and drift checks
Adoption
75%+
Usage within pilot teams
Delivery scorecard
Every engagement is tracked against a shared scorecard, so progress is clear and decisions stay grounded in data.
Data readiness
Target 85%+
Automation reliability
99.5% uptime
Decision latency
-40% goal
Workflow adoption
75%+ usage
Governance checks
Guardrails on
Customization fit
3-5 flows
Targets are customized per engagement and validated with your stakeholders.
Case Studies
Selected work across AI, ML, and data science.
Network Optimization
Supply ChainPartnered with the largest spices company to redesign the US supply network using data science-driven optimization.
- Forecasted demand and modeled transportation costs across the network.
- Integrated manufacturing and DC capacity constraints into the model.
- Outcome: identified the most optimized distribution centers and manufacturing footprint across the US.
Pricing Models and Revenue Management
Real EstateBuilt a proprietary machine learning engine to predict pricing for real estate assets and improve revenue decisions.
- Unified market, economic, and demographic signals with asset features.
- Produced scenario-based forecasts and risk-adjusted pricing guidance.
- Outcome: surfaced assets with the most attractive outlook in changing market conditions.
AI Agents and Tools
SMB AutomationBuilt AI agents to help small and medium businesses automate email intake, follow-ups, and customer updates.
- Connected inboxes, CRMs, and scheduling workflows in one agent stack.
- Added human-in-the-loop approvals and performance dashboards.
- Outcome: faster response times and reduced manual workload.
Banking and Documentation Agents
ComplianceDeveloped documentation agents for banking teams to validate workflows and prevent errors in regulated processes.
- Read documentation, extracted requirements, and cross-checked every step.
- Flagged missing evidence and inconsistencies in real time.
- Outcome: improved audit readiness and fewer workflow failures.
Contact
Ready to explore an AI initiative?
Let us build your next AI tool.
Tell us about your challenge. We will respond with a recommended path, an engagement outline, and next steps.
We take a limited number of engagements each quarter to stay hands-on.