PRODUCT SIGNALS. REAL DECISIONS

Turn Signals into
Product Decisions.

Turn Signals into
Product Decisions.

Turn Signals into
Product Decisions.

Clear signals. Confident product decisions.

WHY LOOP EXISTS ?

Loop exists because product teams don’t lack data they lack clear signals.
Signals that tell them what actually matters next.

Loop exists because product teams don’t lack data they lack clear signals.
Signals that tell them what actually matters next.

user pic

Co-founder & AI Strategy Lead

BENEFITS

Why teams choose Loop?

Why teams choose Loop?

Everything you need to automate, optimize, and scale

Clear Signals

Most tools show data. Loop surfaces decision signals.

Clear Signals

Most tools show data. Loop surfaces decision signals.

Clear Signals

Most tools show data. Loop surfaces decision signals.

Measurable Impact

Track what matters. Prove what changed.

Measurable Impact

Track what matters. Prove what changed.

Measurable Impact

Track what matters. Prove what changed.

Seamless Integration

Connect your tools. Unify your signals.

Seamless Integration

Connect your tools. Unify your signals.

Seamless Integration

Connect your tools. Unify your signals.

PRODUCT

How Loop Works

Cost Management

Payment reminder

Employee Tracking

Social media post

Listen

Loop continuously listens across product usage, user feedback, and customer conversations in real-time.

Cost Management

Payment reminder

Employee Tracking

Social media post

Listen

Loop continuously listens across product usage, user feedback, and customer conversations in real-time.

Cost Management

Payment reminder

Employee Tracking

Social media post

Listen

Loop continuously listens across product usage, user feedback, and customer conversations in real-time.

Synthesize

Loop identifies repeating patterns across your data, filters out noise, and distills insights into what actually matters.

Synthesize

Loop identifies repeating patterns across your data, filters out noise, and distills insights into what actually matters.

Synthesize

Loop identifies repeating patterns across your data, filters out noise, and distills insights into what actually matters.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Surface

Loop surfaces decision-ready signals that tell you what to build, fix, or ignore — with confidence.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Surface

Loop surfaces decision-ready signals that tell you what to build, fix, or ignore — with confidence.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Surface

Loop surfaces decision-ready signals that tell you what to build, fix, or ignore — with confidence.

Code

1

2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Decide

Move from data overload to decision clarity. Know what matters, what doesn't, and act with conviction.

Code

1

2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Decide

Move from data overload to decision clarity. Know what matters, what doesn't, and act with conviction.

Code

1

2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Decide

Move from data overload to decision clarity. Know what matters, what doesn't, and act with conviction.

Iterate

Loop keeps learning. As your product evolves, so does Loop — continuously refining signals based on new data.

Iterate

Loop keeps learning. As your product evolves, so does Loop — continuously refining signals based on new data.

Iterate

Loop keeps learning. As your product evolves, so does Loop — continuously refining signals based on new data.

FEATURES

Everything you need in one platform

The complete toolkit for product leaders to move from data overload to decision clarity

Signal Intelligence

AI-powered analysis of product usage, feedback, and conversations to surface actionable patterns.

Signal Intelligence

AI-powered analysis of product usage, feedback, and conversations to surface actionable patterns.

Signal Intelligence

AI-powered analysis of product usage, feedback, and conversations to surface actionable patterns.

Noise Filtering

Cut through the clutter. Loop separates real signals from noise so you focus only on what matters.

Noise Filtering

Cut through the clutter. Loop separates real signals from noise so you focus only on what matters.

Noise Filtering

Cut through the clutter. Loop separates real signals from noise so you focus only on what matters.

Decision Signals

Get clear, actionable recommendations on what to build, fix, or deprioritize next.

Decision Signals

Get clear, actionable recommendations on what to build, fix, or deprioritize next.

Decision Signals

Get clear, actionable recommendations on what to build, fix, or deprioritize next.

Pattern Detection

Automatically identify recurring themes across user feedback, support tickets, and usage data.

Pattern Detection

Automatically identify recurring themes across user feedback, support tickets, and usage data.

Pattern Detection

Automatically identify recurring themes across user feedback, support tickets, and usage data.

Continuous Learning

Loop evolves with your product, getting smarter over time as it processes more data.

Continuous Learning

Loop evolves with your product, getting smarter over time as it processes more data.

Continuous Learning

Loop evolves with your product, getting smarter over time as it processes more data.

Tool Integrations

Connect to your existing analytics, feedback tools, and communication platforms.

Tool Integrations

Connect to your existing analytics, feedback tools, and communication platforms.

Tool Integrations

Connect to your existing analytics, feedback tools, and communication platforms.

PROCESS

How It Works

From fragmented data to confident product decisions in three simple steps

STEP 1

STEP 2

STEP 3

01

Connect Your Data

Integrate Loop with your analytics, feedback tools, and communication platforms. Loop starts listening to your product signals immediately.

STEP 1

STEP 2

STEP 3

01

Connect Your Data

Integrate Loop with your analytics, feedback tools, and communication platforms. Loop starts listening to your product signals immediately.

STEP 1

STEP 2

STEP 3

01

Connect Your Data

Integrate Loop with your analytics, feedback tools, and communication platforms. Loop starts listening to your product signals immediately.

INTEGRATIONS

Seamless Integrations

Seamless Integrations

Interact with all your favorite software without unnecessary fuss

"Our AI automation plugs into your stack to create a unified, intelligent workflow"

PRICING

Flexible Plans for Everyone

Flexible Plans for Everyone

Choose a plan that fits your goals and scale as you grow

Choose a plan that fits your goals and scale as you grow

Monthly

Yearly

Save 20%

Starter

$49

/month

16 Signals

100 AI Agent Interactions

Essential AI Agent Capabilities

Up to 250 MAUs

3 Experiements (Basic)

5 Feature Flags

Pro

Popular

$299

/month

150 Signals

1000 AI Agent Interactions

Full AI Agents Suite

Up to 2,000 MAUs

20 Experiments (Advanced)

Unlimited Feature Flags

Advanced Product Planning

Enterprise

$799

300 Signals

Unlimited AI Agent Interactions

Full AI Agents Suite

Up to 10,000 MAUs

Unlimited Experiments

Unlimited Feature Flags

Priority Support

Monthly

Yearly

Save 20%

Starter

$49

/month

16 Signals

100 AI Agent Interactions

Essential AI Agent Capabilities

Up to 250 MAUs

3 Experiements (Basic)

5 Feature Flags

Pro

Popular

$299

/month

150 Signals

1000 AI Agent Interactions

Full AI Agents Suite

Up to 2,000 MAUs

20 Experiments (Advanced)

Unlimited Feature Flags

Advanced Product Planning

Enterprise

$799

300 Signals

Unlimited AI Agent Interactions

Full AI Agents Suite

Up to 10,000 MAUs

Unlimited Experiments

Unlimited Feature Flags

Priority Support

We donate 2% of your membership to pediatric wellbeing

We donate 2% of your membership to pediatric wellbeing

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

What is Loop?

Loop is a product intelligence system that turns fragmented inputs—product usage, user feedback, and conversations—into clear signals that guide product decisions.

Who is Loop for?

Loop is built for founders, product managers, and product leaders who need clarity on what to build, fix, or ignore—without drowning in dashboards or raw data.

How is Loop different from analytics tools?

Analytics tools show metrics and trends. Loop surfaces signals—repeating patterns across multiple sources that point to meaningful decisions.

How is Loop different from feedback tools?

Feedback tools collect opinions. Loop connects feedback with behavior and outcomes to identify what actually matters.

Is Loop an AI chatbot?

No. Loop does not generate generic answers on demand. It continuously synthesizes signals and presents decision-ready insights with context.

What inputs does Loop analyze?

Loop works across: Product usage data User feedback (surveys, tickets, comments) Conversations (sales, support, research notes)

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

What is Loop?

Loop is a product intelligence system that turns fragmented inputs—product usage, user feedback, and conversations—into clear signals that guide product decisions.

Who is Loop for?

Loop is built for founders, product managers, and product leaders who need clarity on what to build, fix, or ignore—without drowning in dashboards or raw data.

How is Loop different from analytics tools?

Analytics tools show metrics and trends. Loop surfaces signals—repeating patterns across multiple sources that point to meaningful decisions.

How is Loop different from feedback tools?

Feedback tools collect opinions. Loop connects feedback with behavior and outcomes to identify what actually matters.

Is Loop an AI chatbot?

No. Loop does not generate generic answers on demand. It continuously synthesizes signals and presents decision-ready insights with context.

What inputs does Loop analyze?

Loop works across: Product usage data User feedback (surveys, tickets, comments) Conversations (sales, support, research notes)

FAQ'S

Frequently Asked Questions

Find quick answers to the most common support questions

Still Have Questions?

Still have questions? Feel free to get in touch with us today!

What is Loop?

Who is Loop for?

How is Loop different from analytics tools?

How is Loop different from feedback tools?

Is Loop an AI chatbot?

What inputs does Loop analyze?

Loop works across: Product usage data User feedback (surveys, tickets, comments) Conversations (sales, support, research notes)

COMPARISON

Why Choose Us Over Others

Why Choose Us Over Others

See how we compare against others in performance, growth

See how we compare against others in performance, growth

Clear signals

What to build, fix, or ignore

Combines usage, feedback, conversations

Filters noise, surfaces patterns

Confidence in prioritization

Others

Charts and dashboards

Data you still interpret

Siloed data sources

Treat everything equally

Decisions left to interpretation

Reach out anytime

Ready to Generate Signals? Let’s Build Together

Start making confident product decisions with Loop

info@imloop.ai

Reach out anytime

Ready to Generate Signals? Let’s Build Together

Start making confident product decisions with Loop

info@imloop.ai

Reach out anytime

Ready to Generate Signals? Let’s Build Together

Start making confident product decisions with Loop

info@imloop.ai