Envive AI raises $15M to build the future of Agentic Commerce. Read the Announcement
White-Glove Ecommerce, Powered by Agentic Intelligence
Envive's Agentic Revenue Engine transforms your store into a living, learning sales ecosystem. An ensemble of brand-trained Al agents-Sales, Search, and SEO—work together at the application layer to drive measurable revenue growth while keeping every interaction on-brand and compliant.
An Ensemble of Agents Built for Revenue Growth
Every agent specializes. Together, they create your closed data loop.
Each agent learns from the others through reinforcement signals from real user behavior-creating a closed feedback loop where performance, tone, and accuracy improve automatically.
Each agent learns from the others through reinforcement signals from real user behavior-creating a closed feedback loop where performance, tone, and accuracy improve automatically.
Agent
Purpose
Impact
Sales Agent
Conversational commerce that converts
+CVR / +AOV
Search Agent
Smarter on-site discovery
+Search Conversion Rate
SEO/GEO Agent
Continuous content optimization
+Organic Traffic / Visibility
Sales Agent
Purpose
Conversational commerce that converts
Impact
+CVR / +AOV
Search Agent
Purpose
Smarter on-site discovery
Impact
+Search Conversion Rate
SEO/GEO Agent
Purpose
Continuous content optimization
Impact
+Organic Traffic / Visibility
Why Envive Wins
Agentic Revenue Engine • Closed Data Loop • Proprietary Evals • Brand-Safe Performance
Envive
Typical Chatbot
Generic AI Platform
Core Concept
Agentic Revenue Engine - an ensemble of sales, search, and SEO agents that collaborate at the application layer.
Drives coordinated growth across your full funnel.
Single-function bot handling
FAQs or simple tasks.
FAQs or simple tasks.
No strategic impact on revenue.
General-purpose model not tailored to commerce.
Powerful, but disconnected from ecommerce needs.
Learning Model
Continuous reinforcement learning - models improve from real user behavior, not static data.
Every conversation gets smarter and converts better.
Fixed logic, requires manual retraining.
Performance plateaus immediately.
Global training data, not brand-specific.
Learns things irrelevant-or risky-for your brand.
Data Feedback
Closed data loop - live signals (clicks, add-to-cart, conversions) fuel tuning.
Turns engagement into measurable lift.
No learning loop.
Insights never feed back into performance.
No commerce feedback channels.
Opaque black box.
Evaluation Framework
(Evals)
(Evals)
Proprietary multi-turn evaluation system tests real shopper scenarios before launch.
Ensures tone, accuracy, and conversion-readiness from day one.
Basic QA on single-turn questions.
Shaky quality once deployed.
No structured evals process.
Unpredictable output quality.
Brand Safety
Three-layer guardrail system (tone, policy, factual integrity).
Learns safely, never goes off-brand.
Keyword-based moderation.
Easily breaks tone or compliance.
No brand awareness.
Risk of hallucination or misinformation.
Deployment Model
Custom merchant-specific models - fine-tuned on your products, pricing, and voice.
Feels like a true team member, not a script.
One-size-fits-all templates.
Generic experiences for unique brands.
Multi-tenant model.
Your data is one of millions of inputs.
Integration Depth
Deep API & catalog sync - real-time products, pricing, promos, and search context.
Precision recommendations that actually convert.
Static product feed updates.
Quickly goes out of sync.
Requires developer integration.
Slow and limited visibility.
Measurement & ROI
Transparent baselines + CVR/AOV/Revenue tracking tied to Shopify/Big Commerce/GA4.
Proves impact to your CFO every week.
Engagement metrics only.
No visibility into sales impact.
Limited analytics.
Can't tie results to revenue.
Team Behind It
ELMo + DeepMind lineage - pioneers in NLP and Al Safety.
Enterprise-grade credibility and control.
Vendor support.
Limited depth or accountability.
Academic/open-source.
No brand-safety ownership.
End Experience
White-glove personal shopper experience - on-brand voice with measurable lift.
Feels like service, performs like strategy.
Scripted chatbot.
Functional, not delightful.
Smart but impersonal.
Doesn't reflect your brand or goals.
Core Concept
Envive
Agentic Revenue Engine - an ensemble of sales, search, and SEO agents that collaborate at the application layer.
Drives coordinated growth across your full funnel.
Typical Chatbot
Single-function bot handling FAQs or simple tasks.
No strategic impact on revenue.
Generic AI Platform
General-purpose model not tailored to commerce.
Powerful, but disconnected from ecommerce needs.
Learning Model
Envive
Continuous reinforcement learning - models improve from real user behavior, not static data.
Every conversation gets smarter and converts better.
Typical Chatbot
Fixed logic, requires manual retraining.
Performance plateaus immediately.
Generic AI Platform
Global training data, not brand-specific.
Learns things irrelevant-or risky-for your brand.
Data Feedback
Envive
Closed data loop - live signals (clicks, add-to-cart, conversions) fuel tuning.
Turns engagement into measurable lift.
Typical Chatbot
No learning loop.
Insights never feed back into performance.
Generic AI Platform
No commerce feedback channels.
Opaque black box.
Evaluation Framework (Evals)
Envive
Proprietary multi-turn evaluation system tests real shopper scenarios before launch.
Ensures tone, accuracy, and conversion-readiness from day one.
Typical Chatbot
Basic QA on single-turn questions.
Shaky quality once deployed.
Generic AI Platform
No structured evals process.
Unpredictable output quality.
Brand Safety
Envive
Three-layer guardrail system (tone, policy, factual integrity).
Learns safely, never goes off-brand.
Typical Chatbot
Keyword-based moderation.
Easily breaks tone or compliance.
Generic AI Platform
No brand awareness.
Risk of hallucination or misinformation.
Deployment Model
Envive
Custom merchant-specific models - fine-tuned on your products, pricing, and voice.
Feels like a true team member, not a script.
Typical Chatbot
One-size-fits-all templates.
Generic experiences for unique brands.
Generic AI Platform
Multi-tenant model.
Your data is one of millions of inputs.
Integration Depth
Envive
Deep API & catalog sync - real-time products, pricing, promos, and search context.
Precision recommendations that actually convert.
Typical Chatbot
One-size-fits-all templates.
Generic experiences for unique brands.
Generic AI Platform
Multi-tenant model.
Your data is one of millions of inputs.
Measurement & ROI
Envive
Transparent baselines + CVR/AOV/Revenue tracking tied to Shopify/BigCommerce/GA4.
Proves impact to your CFO every week.
Typical Chatbot
Engagement metrics only.
No visibility into sales impact.
Generic AI Platform
Limited analytics.
Can't tie results to revenue.
Team Behind It
Envive
ELMo + DeepMind lineage - pioneers in NLP and Al Safety.
Enterprise-grade credibility and control.
Typical Chatbot
Vendor support.
Limited depth or accountability.
Generic AI Platform
Academic/open-source.
No brand-safety ownership.
End Experience
Envive
White-glove personal shopper experience - on-brand voice with measurable lift.
Feels like service, performs like strategy.
Typical Chatbot
Scripted chatbot.
Functional, not delightful.
Generic AI Platform
Smart but impersonal.
Doesn't reflect your brand or goals.
Every marketer wants the same thing: more revenue, less waste
Envive gives you a self-optimizing sales system that makes every visitor worth more. While other tools stop at "automation," Envive keeps learning-analyzing real shopper behavior, fine-tuning its responses, and compounding gains week after week.
+70%
Search conversion
(Bandolier)
(Bandolier)
+11.5%
CVR lift (Supergoop!)
6x
Higher CVR among
engaged visitors
engaged visitors
Where Al Performance Meets Brand Integrity
Envive isn't "automation." It's a self-improving, revenue-driving brand extension.
Agentic Revenue Engine
Multiple agents operating at the application layer to drive measurable financial outcomes.
Closed Data Loop
Reinforcement learning from actual shopper behavior, not static prompts.
Proprietary Evals System
Continuous multi-turn simulations test tone, accuracy, and goal completion before deployment.
Brand-Safe Architecture
Guardrails for tone, policy, and claim accuracy keep learning safe and trustworthy.
Transparent ROl Tracking
Baselines and dashboards show exact lift in CVR, AOV, and total revenue per visitor.
Al that Understands Your Brand and Grows Your Bottom Line
Built by the creators of ELMo and Al Safety leaders from DeepMind, Envive is the agentic revenue engine trusted by modern commerce teams to sell smarter, learn faster, and scale safely.
our platform
See Envive
in action
Your store deserves more than just clicks.
Let’s unlock its full potential — together.
Let’s unlock its full potential — together.
