You are booked!

You are booked!

Here's how to get the most out of our call:

Here's how to get the most out of our call:

Come with context

What’s the problem you’re solving? What’s working, what’s not?
The more real-world details you bring, the more tailored and valuable our recommendations will be. We’ll meet you where you are.

Bring your questions

No question is too technical or too simple.
Ask us about strategy, stack, use cases, risks - anything. We’re here to give clarity. You’ll leave with real answers and next steps, even if we don’t end up working together.

Be honest

Tell us where you're stuck, what you're unsure about, and what you actually need.
Every project has unknowns. Being transparent about your needs and expectations helps us figure out if and how we can support you best.

Case Studies

See how we help companies

Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

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Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

Read case study

Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

Read case study

Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

Read case study

Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

Read case study

Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

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Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

Read case study

Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

Read case study

Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

Read case study

Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

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Surfer SEO

Surfer streamlines content creation content creation by taking care of research, writing, and optimization.

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Surfer SEO

Surfer streamlines content creation content creation by taking care of research, writing, and optimization.

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Surfer SEO

Surfer streamlines content creation content creation by taking care of research, writing, and optimization.

Read case study

Surfer SEO

Surfer streamlines content creation content creation by taking care of research, writing, and optimization.

Read case study

Surfer SEO

Surfer streamlines content creation content creation by taking care of research, writing, and optimization.

Read case study

Comcast

We built for Comcast an AI-driven tool capable of automatically identifying and pre-annotating UI elements in their VOD applications. The solution was designed around two core components: computer vision models and active learning.

Read case study

Chili Piper

Chili Piper books 500 outbound sales meetings per quarter, utilizing AI to streamline their operations. A significant aspect of their workflow involves an SDR looking at each prospect form, filling it out and reviewing the entire funnel for the account they are targeting. They wanted to automate this process and save the SDRs 5 minutes per account (which adds up significantly, considering they manage 300 accounts per week). Here's how we came in and helped

Read case study

See all case studies

See all case studies

See all case studies

See all case studies

See all case studies

See all case studies