Enterprise Native.
Full-Stack Solutions.
Built for Pharma & CPG.

We work at the intersection of Software Engineering, Analytics, and Applied AI to build solutions for enterprise commercial teams. Our forward deployed engineers embed with your AI and technology teams, using prebuilt accelerators to deliver solutions compatible with client-native environments.

Why Revmind

Deep-tech depth.
Enterprise rigor. Boutique speed.

Deep-tech capabilities combined with pharma and CPG commercial expertise — and a reusable component library that cuts delivery time without cutting corners.

Forward Deployed Engineering

Engineers embed with your AI and tech teams, from problem discovery, production, to solution improvement

End-to-End Delivery

Data ingestion to dashboards — we own the full stack inside your IT ecosystem.

Commercial Expertise

Pharma and CPG depth — field force, promo mix, trade promotion, revenue growth — built into every solution.

Regulated Environment Ready

Security, data residency, and access controls built in from day one.

Pre-built Accelerators

Reusable components that cut time to market, onsite or virtual.

Our Process

From brief to production
in weeks, not quarters.

A lean, iterative model built around your environment and your people.

1

Discover

We map your workflows, data landscape, and user journeys to identify the highest-value AI opportunities.

2

Design

Tailored architecture — web or mobile front-end, API layer, and AI/ML components sized for your stack.

3

Build

Embedded engineers iterate rapidly, leveraging our reusable component library to accelerate delivery.

4

Deploy

We deploy into your cloud environment, meeting your IT, security, and compliance requirements.

5

Embed

We stay post-launch — training teams, monitoring performance, and iterating until adoption is real.

Enterprise AI, in production.

Selected engagements for global CPG and pharma companies.

Conversational AI

AI assistant for commercial leadership

For a multinational CPG company, we built a mobile assistant that lets commercial leaders interrogate their business in plain language, and surfaces the opportunities to capture and the risks to mitigate.

Multinational CPGReact NativeOpenAI GPTClient Azure tenant
  • Ask, don't dashboard. Questions on sales, trends, SKUs, and territories answered in seconds, with the chart that explains it.
  • Opportunities and risks, proactively. Nudges flag growth potential and emerging problems before the weekly review does.
  • Runs inside the client's cloud. A React Native mobile app on the client's Azure environment, using OpenAI GPT models on data transformed from the client's data lake.
9:41
Revmind
ChatKPIsNudges
How are we tracking against Q1 plan?
87% of plan. The gap sits in two regions.
87%↓ vs last month
Plan attainment by region
9:41
Revmind
ChatKPIsNudges
Risk

Distribution slipping in Region B modern trade

Opportunity

Untapped growth potential in Region D

Risk

Forecast drift on two core SKUs

9:41
Revmind
ChatKPIsNudges
Where are my biggest untapped opportunities?
Three markets stand out.
Estimated growth potential
Mkt 1
Mkt 2
Mkt 3
Mkt 4

Promo Mix Modeling

Promotion and media mix modeling on Google Meridian

For a CPG client, we built a promo mix modeling solution on Google Meridian, Google's Bayesian marketing mix modeling framework, to show what each promotion and media dollar actually returns.

CPGGoogle MeridianBayesian MMMBudget optimization
  • Measure true incremental impact across media and trade promotions, not just attributed sales.
  • See diminishing returns. Response curves show where each channel saturates.
  • Plan with scenarios. Compare the current mix against an optimized allocation before committing spend.
RevmindPromo Mix Model

Return by channel

TV2.1
Digital2.8
Retail media2.4
Trade promo1.4
Price promo1.1

Response curves

Budget mix: current vs optimized

Current
Optimized

Gross to Net Optimizer

Gross-to-net optimization for pharma contracting

For a pharma client, we built an optimizer that traces every dollar from gross sales to net revenue, finds where rebates, chargebacks, and discounts leak value, and tests contract changes before they reach the market.

PharmaGross-to-netPayer contractingScenario simulation
  • One waterfall, every level. Gross-to-net by payer, channel, and product.
  • Find the leakage. Spot rebates and discounts that don't earn their keep.
  • Simulate before you commit. Test contract terms and see the net impact first.
RevmindGross to Net Optimizer

Gross to net waterfall

Gross  ·  Chargebacks  ·  Rebates  ·  Discounts  ·  Fees  ·  Net

Leakage by payer

Payer A8.4
Payer B5.8
Payer C3.6

Scenario

Rebate rate
Contract terms
Net impact +0.0%

Industries

Built for commercial-heavy enterprises.

We specialize in pharma and CPG — industries where commercial excellence, data complexity, and compliance rigor demand a partner who truly understands the terrain.

Fieldforce AI assistant GTM accelerators Promo Mix Modeling Gross to Net Optimizer Customer Engagement Analytics Demand Forecasting

Build practical AI with teams that ship.

Join Revmind Labs to work on full-stack AI solutions for enterprise teams in complex, regulated industries.

Explore open roles

See current opportunities and apply through our careers portal.

Let's Talk

Ready to move from concept to production?

Tell us your challenge. We'll show you what's possible — and build it alongside you.

Get in Touch hello@revmindlabs.ai