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Intempt
Sid Chaudhary

Sid Chaudhary

Founder & CEO, Intempt

Meet Blu.

Your AI Growth Agent.

Nine specialized agents. One GTM context.
Your Design team, multiplied.

The stitched GTM stack is done.

It was built for a world where marketing generated leads, sales qualified them later, and the stack in between held it all together. Every team had its own tools. Its own data. Its own version of the customer.

Enrichment vendors to patch incomplete profiles. Zapier chains held together by prayer. Analytics in one tool. Campaigns in another. Pipeline in a third. Nobody looking at the same truth.

Complexity started to look like sophistication. The more tools a stack could absorb, the more advanced it seemed. But overhead kept growing. And the process became the work.

Then AI showed up. And everyone bolted a chatbot onto the same broken stack.

I started Intempt on the opposite belief: the best growth systems remove overhead so teams can focus on customers.

That hasn't changed. What changed is that agents made it real.

Not because they automate things. Because they compress. Prospecting, outreach, follow-up, personalization, creative, reporting. Five tools and three handoffs become one motion. People spend time on strategy, positioning, and taste. Not managing the mechanics of the funnel.

We called it Blu.

Four starting points. One system.

Sellers go to Sales. Marketers go to Marketing. Designers go to Design. Analysts go to Analytics.

Each gets their own experience. Underneath, it's the same GTM context. The same Blu. The same data.

Design

Brand kit, creative, campaigns

Market

Journeys, personalization, experiments

Sell

Deals, pipeline, Reply AI, meetings

Analyze

Dashboards, funnels, cohorts, attribution

Marketing. Journeys and experiences live together. Most teams run lifecycle in one tool, personalization in another. They never talk to each other. A user finishes onboarding and still gets onboarding emails for two more weeks. That's broken. In Intempt, one journey spans the full lifecycle. Recommendations adapt to where the user actually is. Experiments know about the journeys. Everything connected.

Sales. Handles the prep, the notes, the follow-up, and the CRM. Reps stay in the conversation. Not in the admin.

Design. This is the one nobody sees yet. Every marketer and seller needs creative. Campaign copy. Brand visuals. Six segments, three channels. Today that means a ticket, a week wait, and a Canva workaround. Blu generates it from your brand kit. Designers set the rules. Blu executes at scale. No bottleneck.

Analytics. Most teams spend more time building dashboards than reading them. Add one script. Six dashboards. Live. No setup sprint. No SQL. "What happened last week?" should be a two-second question. Not a two-day project.

I know you're skeptical.
Just watch.

"Win back our VIPs." One sentence. Blu analyzes the churn data. Generates the creative. Writes the copy. Builds the journey. Queues it. Done.

One conversation. Four categories. No handoff between tools.

BluBlu
Win back our VIPs

GTM context is
the whole game.

Every AI tool in GTM has the same fatal flaw. It has no idea what your customers are doing. You paste in data. You explain segments. You re-describe your pipeline. Every. Single. Time.

Blu already knows. Because it sits on top of the actual signals.

Website visits. Email opens. App events. Ad clicks. Chat conversations. Meeting transcripts. Deal activity. Product usage. Subscription changes. Every touchpoint across every channel, captured, unified, and available to every agent in real time.

Without GTM context, agents are just faster versions of bad processes.

So we built the GTM context layer first. Unified profiles. Identity resolution. Computed traits. Real-time segmentation. Shopify, HubSpot, Stripe, Google, Microsoft. Every integration feeding into the same intelligence. Then we put agents on top.

When Blu's Outbound Prospector drafts outreach, it already knows Marketing ran an A/B test on that segment last week. It knows the prospect visited pricing three times. It knows the Creative Designer generated new variants from your brand kit. It knows the Data Analyst flagged a drop in that cohort. No integration. No sync job. One GTM context across all nine agents.

Same frontier models as every other AI product. Radically different results. Not because the model is better. Because the GTM context is.

Signals
behavior · events · engagement · product usage · deal activity
Context Layer
unified profiles · segments · computed traits · identity resolution · integrations
AI Agents
9 agents · 4 products · one customer context
Marketing
journeys · experiences · testing · recs
Sales
deals · Reply AI · scheduling · meetings
Design
brand kit · creative · designer
Analytics
dashboards · funnels · attribution
Revenue
conversion · retention · expansion · pipeline
↑ feedback loop ↑

You went home.
Blu didn't.

This is a real Tuesday night:

8 PM
You close your laptop
9 PM
The Data Analyst analyzes 12,000 visitor sessions
10 PM
Generates 4 ad variations from your brand kit
11 PM
A/B tests subject lines across 3 segments
1 AM
Enriches 340 new leads, scores & routes them
4 AM
Drafts outreach for your top 12 accounts
6 AM
Compiles dashboard: pipeline, attribution, revenue
8 AM
You open your laptop to a briefing

8 AM. You open your laptop. There's a briefing waiting. Not a dashboard you have to interpret. Not twelve notifications from twelve tools. One briefing. What happened. What moved. What to look at. Done.

Not one agent.
Nine.

We didn't build one agent that tries to do everything badly. Nine specialists. Each deep in its lane. All sharing the same GTM context. You talk to Blu. The right agents activate. You don't manage them. They manage the work.

Creative Designer

Creative Designer

Product photos, ads, landing pages

Content Marketer

Content Marketer

Emails, SMS, blogs, landing pages

Lifecycle Marketer

Lifecycle Marketer

Multi-channel lifecycle flows

A/B Tester

A/B Tester

A/B tests, personalization

Outbound Prospector

Outbound Prospector

Prospecting, outreach, sequences

Pipeline Closer

Pipeline Closer

Deal management, proposals, close

Performance Marketer

Performance Marketer

Campaigns, channels, ROI

Data Analyst

Data Analyst

Dashboards, funnels, attribution

RevOps Automator

RevOps Automator

Scoring, routing, forecasts

design
market
sell
analyze

No faith required.

There's a lot of AI theater right now. Output nobody audits. Metrics nobody can reproduce. Results you take on faith.

We went the other direction. Every action ties to a number. What agents did. Why. What happened next. Full trail. If you can't audit it, don't trust it.

Your data, not ours.

Agents run on your customer data, your brand rules, your segments. Nothing generic.

Show me the revenue.

Every action ties to a number. Analytics is built in, not bolted on.

Full transparency.

What agents did. Why. What happened next. Every decision is auditable.

Our biggest strength.

Multi-product. All-in-one. With AI. I think that's where GTM software is going. Building features is getting easier. Features are not what matters.

What matters is GTM context.

The journey knows what the website showed. The website knows what the journey sent. The pipeline knows what the meeting covered. The analytics know everything.

That's not possible with a stitched stack. That's only possible with one system.

A lot of money is going into "autonomous company builders." AI that generates the product, the GTM, the whole show. No existing customer data. No brand. Same output for every business. Blu is the opposite of that. Blu is for companies that already have customers, data, and a brand, and need an agent that works with all of that.

Run it against whatever you're using now.

Shipped. Shipping. Next.

We build in public. Here's where we are.

Shipped
  • Customer Data Hub & Integrations
  • Analytics: 6 dashboards out of the box
  • Journeys: visual multi-channel builder
  • Experiments: A/B with CUPED
  • Personalization: adaptive experiences
  • Recommendations: context-aware discovery
  • Meetings: transcribed by agents
  • Scheduling: booking pages, auto-scheduling
Shipping now
  • Agent Actions: multi-agent sequences
  • Playbook Library: pre-built strategies
  • Brand Kit: codified tone & design
  • Pipeline & Deal Intelligence
  • Designer: visual builder + Brand Kit
Next
  • Chat: conversational agents
  • Advanced RevOps Workflows
  • Unified Inbox

The stitched GTM stack turned signals into revenue reports.

We're turning context into growth.

Products are in good shape. We're building this with the teams already shaping it. If you've been looking for this, come meet Blu.

Sid Chaudhary

Sid Chaudhary

Founder & CEO, Intempt

Blu. Your AI Growth Agent.

Meet Your AI Growth Agents | Intempt