AI-based tools that solve problems for CTOs and Product Leaders.
AI-based tools that solve problems for CTOs and Product Leaders.
AI-based tools that solve problems for CTOs and Product Leaders.
The first platform designed for Product & Engineering leaders with specialized AI domain intelligence, tools and automations specific to your product & technology context.
The first platform designed for Product & Engineering leaders with specialized AI domain intelligence, tools and automations specific to your product & technology context.
The first platform designed for Product & Engineering leaders with specialized AI domain intelligence, tools and automations specific to your product & technology context.
Vega for CTOs & CPOs
Vega for CTOs & CPOs
Vega for CTOs & CPOs
From solving tech debt to automatic roadmapping, Vega gets it done.
From solving tech debt to automatic roadmapping, Vega gets it done.
From solving tech debt to automatic roadmapping, Vega gets it done.
Vega was designed for technology leaders by technology leaders.
Vega was designed for technology leaders by technology leaders.
Vega was designed for technology leaders, by technology leaders.
See Into the Black Box
See Into the Black Box
See Into the Black Box
Total Visibility into
Product and Engineering.
Total Visibility into
Product and Engineering.
Total Visibility into
Product and Engineering.
Not just velocity or quality data but insights that let leaders make critical decisions.
Not just velocity or quality data but insights that let leaders make critical decisions.
Not just velocity or quality data but insights
that let leaders make critical decisions.
Everything, Everywhere, All at Once.
Everything, Everywhere, All at Once.
What if you knew everything about your teams, products, systems and processes? Vega shows it to you — all in one place.
What if you knew everything about your teams, products, systems and processes? Vega shows it to you — all in one place.
A Tool to Fix Every CTO Problem.
A Tool to Fix Every CTO Problem.
Vega includes a toolset designed to turbocharge your problem-solving capabilities. So, those $500k problems? Solved.
Vega includes a toolset designed to turbocharge your problem-solving capabilities. So, those $500k problems? Solved.
"Nothing worked to fix our SDLC until we stared using Vega. We finally started delivering on-time again."
"Nothing worked to fix our SDLC until we stared using Vega. We finally started delivering on-time again."
"Nothing worked to fix our SDLC until we stared using Vega. We finally started delivering on-time again."
$40M CTO, HealthTech
$40M CTO, HealthTech
Vega Advisor
Vega Advisor
Vega Advisor
The Ultimate CTO CoPilot.
The Ultimate CTO CoPilot.
Complex problems like modernization or hiring a new dev team are easily solved with Vega.
Complex problems like modernization or hiring a new dev team are easily solved with Vega.
CTO Intelligence
CTO Intelligence
CTO Intelligence
Powered by your Data
Powered by your Data
Powered by your data
Custom Reports
Custom Reports
Custom Reports
Productivity Tools
Productivity Tools
Productivity Tools
Stakeholder Advice
Stakeholder Advice
Stakeholder Advice
Your Data, Your Insights
Upload your company's data for personalized advice.
Upload your company's data for personalized advice.
Vega stores, remembers, and references the data you upload - making every suggestion, analysis, and output customized for you and your business.
Sprints
Metrics
Retention
Efficiency
Stakeholder Personas
Take the right approach with the right key stakeholders.
Take the right approach with the right key stakeholders.
Vega's key personas feature enables you to generate insights, reports — even email templates designed specifically for the stakeholder you're speaking to.
CFOs
CEOs
Board Members
Board Members
Your Team
Hey David!
Here is the Custom Tech Debt Analysis to share with your CFO.
Let's start with the scope of your tech debt:
Asset Analysis Summary
14.3K Assets | 6K Assets with Tech Debt (45%)
Asset Review
Total
Critical
Asset w/ Tech Debt
Total Assets
14.3K
6k with Technical Debt
900 Critical asset w/ Tech Debt
Hey David!
Here is the Custom Tech Debt Analysis to share with your CFO.
Let's start with the scope of your tech debt:
Asset Analysis Summary
14.3K Assets | 6K Assets with Tech Debt (45%)
Asset Review
Total
Critical
Asset w/ Tech Debt
Total Assets
14.3K
6k with Technical Debt
900 Critical asset w/ Tech Debt
Hey David!
Here is the Custom Tech Debt Analysis to share with your CFO.
Let's start with the scope of your tech debt:
Asset Analysis Summary
14.3K Assets | 6K Assets with Tech Debt (45%)
Asset Review
Total
Critical
Asset w/ Tech Debt
Total Assets
14.3K
6k with Technical Debt
900 Critical asset w/ Tech Debt
Everything, Everywhere, All at Once.
What if you knew everything about your teams, products, systems and processes? Vega shows it to you — all in one place.
A Tool to Fix Every CTO Problem.
Vega includes a toolset designed to turbocharge your problem-solving capabilities. So, those $500k problems? Solved.
Vega Knowledge Base
Vega Knowledge Base
Vega Knowledge Base
Domain Intelligence
Domain Intelligence
Vega is built on world-class product & engineering intelligence across 38 sub-domains.
A Personal CTO Advisor
Hi, I'm Vega Advisor.
I know your tech stack and remember everything you tell me. Just say what you need and I'll do the rest.
Add document
Generate a Report
Analyze my Sprint
Run Millions of Simulations
Run millions of simulations to generate the most accurate insights and estimations for everything from ROI, to demand capacity, sprint timelines, and more.
- run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}" - run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}"
- run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}" - run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}"
- run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}" - run simdef __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"
simulation1(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."def get_status(self):
return f"Status: {self.status}"
CTO Tools
Vega comes equipped with an entire repository of AI agents tech leaders can use to make critical decisions, generate accurate forecasts, and assess project value.
Zeitgeister
Tech Debt
Estimation
Zeitgeister
Tech Debt
Estimation
Zeitgeister
Tech Debt
Estimation
Long-Term Memory
Vega's Memory Base™ eliminates the need to provide the full scope of relevant data and information for every request. When you submit an inquiry or upload a dataset, every piece of information is stored forever.
Chatbot system
Remembers every conversation
Workflow system
References every project to date
Agents
Factor in every dataset uploaded
Chatbot system
Remembers every conversation
Workflow system
References every project to date
Agents
Factor in every dataset uploaded
Chatbot system
Remembers every conversation
Workflow system
References every project to date
Agents
Factor in every dataset uploaded