intelligent features
intelligent features
intelligent features
Built for software teams serious about their product — and the reliable AI infrastructure to match.
WHY IT MATTERS
Because the best analytics experience is invisible — just a product that gets smarter. Your end-users? They don't want dashboards — they ignore them entirely. And your internal teams, they need answers that exist in your database — they just can't get to it. Today, "users" already means serving agents — this is happening with or without you.
APPLICATIONS
We built the layer between
your database and everything else.
AI-powered features
Agentic access
Embedded analytics
Internal analytics
Invisible by design
Power key product features with data intelligence
Recommendations, optimizations, insights — baked into features
No separate analytics, no dashboard — just a smarter product
Ship production-ready AI features in hours
AI features
Activate capabilities in your product
2 out of 3 active
Contextual recommendations
2,230 / day
Auto-generated summaries
410 / day
Proactive alerts
Configure
AI-powered features
Invisible by design
Power key product features with data intelligence
Recommendations, optimizations, insights — baked into features
No separate analytics, no dashboard — just a smarter product
Ship production-ready AI features in hours
AI features
Activate capabilities in your product
Contextual recommendations
2,230 / day
Auto-generated summaries
410 / day
Proactive alerts
Configure
Agentic access
Your next power user isn't human
Bypass the UI entirely
Native support for MCP, custom agents and workflow automation
Structured, hallucinations-free JSON
Monetize the non-human economy
agent
Get top customers by
LTV for YOUR SOFTWARE
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[
{
customer_id: 101,
name: "Acme Corp",
ltv: 50000
}, {
customer_id: 202,
name: "Globex Ltd",
ltv: 45000
}, {
customer_id: 303,
name: "Tech Supply Co.",
ltv: 37200
200 OK
Embedded analytics
Ask. Answer. Move on.
Let users query their data in plain English
Zero training required. Zero dashboards built
Prevent the "export to Excel" churn loop
White-label embedding that looks and feels native
Analytics chat
Query your data in plain English
How did sales perform last week?
Sales were up 15% last week with 320 new deals closed. Your results:
Ask anything about your data
Internal analytics
Their only way into the data
Sales preps for calls with actual customer behavior, not vibes
CS spots risks and opportunities across the entire portfolio
No tickets, no analysts, no two-week turnaround
Governance code, not wild-west queries
Usage intelligence
Turn product usage into actionable signals
Expansion signals
Spot accounts trending to upgrade
Account activation score
Surface high-intent trials automatically
Usage insights
Auto-generate weekly summaries
Ask anything about your users
AI-powered features
Invisible by design
Power key product features with data intelligence
Recommendations, optimizations, insights — baked into features
No separate analytics, no dashboard — just a smarter product
Ship production-ready AI features in hours
AI features
Activate capabilities in your product
Contextual recommendations
2,230 / day
Auto-generated summaries
410 / day
Proactive alerts
Configure
Agentic access
Your next power user isn't human
Bypass the UI entirely
Native support for MCP, custom agents and workflow automation
Structured, hallucinations-free JSON
Monetize the non-human economy
agent
Get top customers by
LTV for YOUR SOFTWARE
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2
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[
{
customer_id: 101,
name: "Acme Corp",
ltv: 50000
}, {
customer_id: 202,
name: "Globex Ltd",
ltv: 45000
}, {
customer_id: 303,
name: "Tech Supply Co.",
ltv: 37200
200 OK
Embedded analytics
Ask. Answer. Move on.
Let users query their data in plain English
Zero training required. Zero dashboards built
Prevent the "export to Excel" churn loop
White-label embedding that looks and feels native
Analytics chat
Query your data in plain English
How did sales perform last week?
Sales were up 15% last week with 320 new deals closed. Your results:
Ask anything about your data
Internal analytics
Their only way into the data
Sales preps for calls with actual customer behavior, not vibes
CS spots risks and opportunities across the entire portfolio
No tickets, no analysts, no two-week turnaround
Governance code, not wild-west queries
Usage intelligence
Turn product usage into actionable signals
Expansion signals
Spot accounts trending to upgrade
Account activation score
Surface high-intent trials automatically
Usage insights
Auto-generate weekly summaries
Ask anything about your users
BENEFITS
Built different.
Made for the new world.
No other player is built from the ground up to make your proprietary data AI-ready.
Live in hours, not quarters
No prep work. No schema documentation. No six-week kickoff. Connect your database, get a working demo the same day.
Live in hours, not quarters
No prep work. No schema documentation. No six-week kickoff. Connect your database, get a working demo the same day.
Live in hours, not quarters
No prep work. No schema documentation. No six-week kickoff. Connect your database, get a working demo the same day.
Auto-everything
Semantic mapping, business context, compounding learning — all automated, all improving with every query.
Auto-everything
Semantic mapping, business context, compounding learning — all automated, all improving with every query.
Auto-everything
Semantic mapping, business context, compounding learning — all automated, all improving with every query.
Answers you can trust
Accurate results from ambiguous questions. No hallucinations, no guesswork — just reliable answers to act on.
Answers you can trust
Accurate results from ambiguous questions. No hallucinations, no guesswork — just reliable answers to act on.
Answers you can trust
Accurate results from ambiguous questions. No hallucinations, no guesswork — just reliable answers to act on.
One layer, every consumer
End users, internal teams, product features, AI agents — all consuming the same intelligence layer.
One layer, every consumer
End users, internal teams, product features, AI agents — all consuming the same intelligence layer.
One layer, every consumer
End users, internal teams, product features, AI agents — all consuming the same intelligence layer.
Enterprise-ready from day one
BYOC deployment, multi-tenancy, authentication, data segregation. We built the hard stuff so you can ship the interesting stuff.
Enterprise-ready from day one
BYOC deployment, multi-tenancy, authentication, data segregation. We built the hard stuff so you can ship the interesting stuff.
Enterprise-ready from day one
BYOC deployment, multi-tenancy, authentication, data segregation. We built the hard stuff so you can ship the interesting stuff.
Context from the real world
We pull in external context — market data, news, your wikis — to bridge the gap between "what" and "so what".
Context from the real world
We pull in external context — market data, news, your wikis — to bridge the gap between "what" and "so what".
Context from the real world
We pull in external context — market data, news, your wikis — to bridge the gap between "what" and "so what".
Feels simple.
Ridiculously powerful.
The magic happens before the question is even asked.
Step 1
Connect your data
Point us at your app database or warehouse. PostgreSQL, BigQuery, Snowflake — whatever you've got.
Step 1
Connect your data
Point us at your app database or warehouse. PostgreSQL, BigQuery, Snowflake — whatever you've got.
Step 2
We map your data automatically
Our agents crawl your schema, index values, infer relationships, and build the semantic layer that makes it actually work.
Step 2
We map your data automatically
Our agents crawl your schema, index values, infer relationships, and build the semantic layer that makes it actually work.
Step 3
We learn your business
Automated company research. Knowledge base ingestion. Domain terminology. The more you use it, the smarter it gets.
Step 3
We learn your business
Automated company research. Knowledge base ingestion. Domain terminology. The more you use it, the smarter it gets.
Step 4
Use it everywhere
Embed a chat for end users. Give teams a query console. Power features via API. Expose it to agents. Same layer, infinite applications.
Step 4
Use it everywhere
Embed a chat for end users. Give teams a query console. Power features via API. Expose it to agents. Same layer, infinite applications.
HOW IT WORKS
Feels simple.
Ridiculously powerful.
The magic happens before the question is even asked.
Step 1
Connect your data
Point us at your app database or warehouse. PostgreSQL, BigQuery, Snowflake — whatever you've got.
Step 2
We map your data automatically
Our agents crawl your schema, index values, infer relationships, and build the semantic layer that makes it actually work.
Step 3
We learn your business
Automated company research. Knowledge base ingestion. Domain terminology. The more you use it, the smarter it gets.
Step 4
Use it everywhere
Embed a chat for end users. Give teams a query console. Power features via API. Expose it to agents. Same layer, infinite applications.
INTEGRATIONS & DEVELOPER EXPERIENCE
Setup so smooth,
it feels like cheating.
Connect & setup
47 tables synced
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# Terraform to setup resources and accesses
resource "aws_lambda_permission" "magemetrics_api_access" {
service = "internal-api"
location = "europe-west6"
role = "roles/run.invoker"
member = "serviceAccount:acme-corp@mm-prod.iam.gserviceacc.com"
}
~
Step 1
Connect your data
Direct connection to your app database or warehouse — PostgreSQL, BigQuery, Snowflake, whatever you're running.
For strict data policies, we propose BYOC: raw data never leaves your premises.
Connect & setup
47 tables synced
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# Terraform to setup resources and accesses
resource "aws_lambda_permission" "magemetrics_api_access" {
service = "internal-api"
location = "europe-west6"
role = "roles/run.invoker"
member = "serviceAccount:acme-corp@mm-prod.iam.gserviceacc.com"
}
~
Step 1
Connect your data
Direct connection to your app database or warehouse — PostgreSQL, BigQuery, Snowflake, whatever you're running.
For strict data policies, we propose BYOC: raw data never leaves your premises.
Connect & setup
47 tables synced
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3
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10
# Terraform to setup resources and accesses
resource "aws_lambda_permission" "magemetrics_api_access" {
service = "internal-api"
location = "europe-west6"
role = "roles/run.invoker"
member = "serviceAccount:acme-corp@mm-prod.iam.gserviceacc.com"
}
~
Step 1
Connect your data
Direct connection to your app database or warehouse — PostgreSQL, BigQuery, Snowflake, whatever you're running.
For strict data policies, we propose BYOC: raw data never leaves your premises.
Building semantic layer
60%
Indexing schema
25m 12s
Inferring relationships
9m 07s
Sampling statistics
12m 45s
Enriching business context
1m 23s
Finalizing semantic layer
Step 2
Auto-semantic layer
Our agents crawl your schema, infer relationships, and build a semantic layer that maps language to accurate queries.
Then we research your company — pulling in domain terminology, external context, and business logic.
No YAML files. No six-week onboarding. The layer updates automatically as your data evolves.
Building semantic layer
60%
Indexing schema
25m 12s
Inferring relationships
9m 07s
Sampling statistics
12m 45s
Enriching business context
1m 23s
Finalizing semantic layer
Step 2
Auto-semantic layer
Our agents crawl your schema, infer relationships, and build a semantic layer that maps language to accurate queries.
Then we research your company — pulling in domain terminology, external context, and business logic.
No YAML files. No six-week onboarding. The layer updates automatically as your data evolves.
Building semantic layer
60%
Indexing schema
25m 12s
Inferring relationships
9m 07s
Sampling statistics
12m 45s
Enriching business context
1m 23s
Finalizing semantic layer
Step 2
Auto-semantic layer
Our agents crawl your schema, infer relationships, and build a semantic layer that maps language to accurate queries.
Then we research your company — pulling in domain terminology, external context, and business logic.
No YAML files. No six-week onboarding. The layer updates automatically as your data evolves.
Integration options
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const mage = new MageClient({ apiKey: MM_KEY });
await mage.agents.trigger(
"ai-recommendations", { customer: "acme-corp" });
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curl -X POST https://api.magemetrics.io/v1/agents/ai-recommendations/run \
-H "Authorization: Bearer $MM_KEY" \
-d '{"customer": "acme-corp"}'
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<MageChat
apiKey={MM_PUBLIC_KEY}
theme={theme} />
Step 3
Call or embed
Chat UI, structured JSON, or raw data — you choose.
Hit the REST API for product features or internal tools. Use the SDK to plug into agent frameworks. Deploy a React component for end-user chat.
Multi-tenancy is built in — scope queries to users, accounts, or workspaces with a single parameter. White-label everything or use it headless.
Integration options
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const mage = new MageClient({ apiKey: MM_KEY });
await mage.agents.trigger(
"ai-recommendations", { customer: "acme-corp" });
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curl -X POST https://api.magemetrics.io/v1/agents/ai-recommendations/run \
-H "Authorization: Bearer $MM_KEY" \
-d '{"customer": "acme-corp"}'
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<MageChat
apiKey={MM_PUBLIC_KEY}
theme={theme} />
Step 3
Call or embed
Chat UI, structured JSON, or raw data — you choose.
Hit the REST API for product features or internal tools. Use the SDK to plug into agent frameworks. Deploy a React component for end-user chat.
Multi-tenancy is built in — scope queries to users, accounts, or workspaces with a single parameter. White-label everything or use it headless.
Integration options
1
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const mage = new MageClient({ apiKey: MM_KEY });
await mage.agents.trigger(
"ai-recommendations", { customer: "acme-corp" });
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3
curl -X POST https://api.magemetrics.io/v1/agents/ai-recommendations/run \
-H "Authorization: Bearer $MM_KEY" \
-d '{"customer": "acme-corp"}'
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<MageChat
apiKey={MM_PUBLIC_KEY}
theme={theme} />
Step 3
Call or embed
Chat UI, structured JSON, or raw data — you choose.
Hit the REST API for product features or internal tools. Use the SDK to plug into agent frameworks. Deploy a React component for end-user chat.
Multi-tenancy is built in — scope queries to users, accounts, or workspaces with a single parameter. White-label everything or use it headless.
Usage analytics
2,847
QUERIES
97.9%
RESULTS
QUALITY
+23
EXAMPLES
CURATES
Top queries
What are the top security risks for the Premium acc…
154 hits
Show me customer activity last week
134 hits
Find inactive users, last month
122 hits
Step 4
Ship and forget
We run the infra: caching, scaling, uptime.
The system learns from usage without you touching it. Want to fine-tune? Drop docs in the knowledge base. Want to debug? Query analytics show exactly what users ask.
No maintenance burden — just a layer that keeps getting better.
Usage analytics
2,847
QUERIES
97.9%
RESULTS
QUALITY
+23
EXAMPLES
CURATES
Top queries
What are the top security risks for the Premium acc…
154 hits
Show me customer activity last week
134 hits
Find inactive users, last month
122 hits
Step 4
Ship and forget
We run the infra: caching, scaling, uptime.
The system learns from usage without you touching it. Want to fine-tune? Drop docs in the knowledge base. Want to debug? Query analytics show exactly what users ask.
No maintenance burden — just a layer that keeps getting better.
Usage analytics
2,847
QUERIES
97.9%
RESULTS
QUALITY
+23
EXAMPLES
CURATES
Top queries
What are the top security risks for the Premium acc…
154 hits
Show me customer activity last week
134 hits
Find inactive users, last month
122 hits
Step 4
Ship and forget
We run the infra: caching, scaling, uptime.
The system learns from usage without you touching it. Want to fine-tune? Drop docs in the knowledge base. Want to debug? Query analytics show exactly what users ask.
No maintenance burden — just a layer that keeps getting better.
Pricing
No seats.
No meters.
No BS.
Flat-rate pricing with everything included.
Really, everything.
Enterprise
Enterprise
Most teams launch for less than half the cost of one data hire.
Unlimited usage & users
Automate 3 core workflows
Automate 3 core workflows
Deployed in under 30 minutes
Up to 5 AI agents
Up to 5 AI agents
White-label embedding option
Standard integrations
Standard integrations
BYOC deployment option
Basic analytics
Basic analytics
Priority support & onboarding
Email & chat support
Email & chat support
Testimonials
Real results. Real teams. Powered by AI.
“
The solution delivers beyond expectations. It is already making a real difference for our enterprise clients.”
“
”
Irakli Menabde
CEO, REalyse
“
Overnight, we were able to add unlimited analytics options without slowing our roadmap or needing major engineering effort.”
“
”
Dan Gianfreda
CEO, DeepStream
“
Our clients get AI-powered trade finance intelligence. We built it — Magemetrics gave us the layer to make it happen through light product integration, no large infrastructure project required.”
“
”
Guy de Pourtalès
CTO, KomGo
“
The solution delivers beyond expectations. It is already making a real difference for our enterprise clients.”
“
”
Irakli Menabde
CEO, REalyse
“
Our clients get AI-powered trade finance intelligence. We built it — Magemetrics gave us the layer to make it happen through light product integration, no large infrastructure project required.”
“
”
Guy de Pourtalès
CTO, KomGo
“
Overnight, we were able to add unlimited analytics options without slowing our roadmap or needing major engineering effort.”
“
”
Dan Gianfreda
CEO, DeepStream
“
The solution delivers beyond expectations. It is already making a real difference for our enterprise clients.”
“
”
Irakli Menabde
CEO, REalyse
“
Our clients get AI-powered trade finance intelligence. We built it — Magemetrics gave us the layer to make it happen through light product integration, no large infrastructure project required.”
“
”
Guy de Pourtalès
CTO, KomGo
“
Overnight, we were able to add unlimited analytics options without slowing our roadmap or needing major engineering effort.”
“
”
Dan Gianfreda
CEO, DeepStream
The team
Repeat founders.
Seasoned engineers.
We've shipped the hard stuff.
Founders still take every call here. Bring your hard questions, your "what about..." list, your skepticism.
You'll get straight answers on whether this actually fits — not a pitch.
The team
Repeat founders.
Seasoned engineers.
We've shipped the hard stuff.
SKIP THE SALES CALL
Talk to a founder
Founders still take every call here. Bring your hard questions, your "what about..." list, your skepticism.
You'll get straight answers on whether this actually fits — not a pitch.
FAQ
Still skeptical? Good.
Can't I just plug ChatGPT or MCP into my database?
You can — and it'll work in the demo. Production is a different story. We handle the hard stuff: speed, reliability, semantic mapping, business context, enterprise infra, and answers that stay accurate at scale. Raw LLM + database gets you 20% of the way. The remaining 80% is why we exist.
What makes this different from BI tools?
What's the data setup and ongoing maintenance like?
How much control do we have over the experience?
What about AI agents — can they use this?
How accurate are the answers?
What's the external context thing?
Can we see what users are asking?
What is this going to cost us?
How do we know our data is safe?
Can't I just plug ChatGPT or MCP into my database?
You can — and it'll work in the demo. Production is a different story. We handle the hard stuff: speed, reliability, semantic mapping, business context, enterprise infra, and answers that stay accurate at scale. Raw LLM + database gets you 20% of the way. The remaining 80% is why we exist.
What makes this different from BI tools?
What's the data setup and ongoing maintenance like?
How much control do we have over the experience?
What about AI agents — can they use this?
How accurate are the answers?
What's the external context thing?
Can we see what users are asking?
What is this going to cost us?
How do we know our data is safe?
Can't I just plug ChatGPT or MCP into my database?
You can — and it'll work in the demo. Production is a different story. We handle the hard stuff: speed, reliability, semantic mapping, business context, enterprise infra, and answers that stay accurate at scale. Raw LLM + database gets you 20% of the way. The remaining 80% is why we exist.