Clean, intuitive workflows that make building and launching AI-driven video campaigns effortless.
Response AI
Turn a single pitch video into thousands of personalized ones – outreach that feels one-to-one, at automation scale.
Project overview
SaaS automation let teams send hundreds of emails a day, but it stripped the personalization that actually drives conversions, response rates fell as inboxes filled up, and the personal video recordings some teams tried simply couldn’t scale. Intobi built Response AI from scratch to resolve that trade-off: make video outreach personal again, without giving up automation or scale.
more replies
Up to 3x
Client Context
Domain: Sales / MarTech
Location: The United States
Timeline: 2023 – ongoing
Team: Project Manager, UX/UI Designer, Full-Stack Developer, Frontend Developer, QA Engineer
Challenges
- Overcrowded outbound market – Prospects receive dozens of similar sales emails daily, making it difficult to capture attention and drive meaningful engagement.
- Balancing personalization with scalability – Highly personalized outreach — especially video content — consistently delivers higher reply and conversion rates.
- Manual and inefficient workflows – Recording individual videos, researching prospects, and preparing outreach manually consumed valuable time.
- Low engagement and conversion rates – Open rates were acceptable, but reply rates and booked meetings remained low due to a lack of relevance and emotional connection.
- Inconsistent branding and presentation – Without a centralized SaaS system, outreach materials varied in quality, messaging, and visual style.
Tech stack
Backend
Frontend
Database
Delivery Approach
Intobi built Response AI from the ground up to resolve one contradiction: keep outreach personal without giving up automation or scale. We shaped it as a SaaS product on Angular, .NET, and an OpenAI-driven video pipeline, hosted on AWS.
Discovery & concept
We pinned down the core tension — personalization drives replies, but manual video doesn’t scale — and defined how one recorded pitch could turn into thousands of tailored videos.
O
Oleksandr
Project Manager
Architecture
A C#/.NET backend on AWS, with PostgreSQL for lead and campaign data and Stripe for billing, was structured to generate and serve video at volume.
S
Stanislav
Full-Stack Developer
AI & video pipeline
Using OpenAI and prospect data pulled from CSV uploads and website recordings, we automated per-prospect video and landing-page generation from a single source pitch.
R
Rostyslav
Full-Stack Developer
Frontend
An Angular interface gave sales teams pitch recording, background selection, lead upload, and campaign oversight in one clear workflow.
M
Mykola
Frontend Developer
QA & launch
Testing covered video generation at scale, payment flows, and personalization accuracy before the platform went live to real customers.
I
Ivan
QA Engineer
Ready to make your outbound sales personal again, at scale?
Contact usKey features
Recording a pitch video
Sales representatives record a single 1-minute pitch video on the platform. This video conveys the campaign’s main message and serves as a personal introduction to each prospect. One recording becomes the seed for an entire campaign – no re-shoots per prospect.
Selecting backgrounds
Predefined or custom backgrounds let users match brand identity in their videos, ensuring a professional, consistent presentation across all outreach campaigns. Every video stays on-brand, so outreach looks the same whichever rep sends it.
Uploading a CSV of leads
Sales teams post lead lists in CSV format, and the platform automatically retrieves key prospect data – names, emails, websites – to personalize outreach at scale. Prospect data flows in automatically, so personalization starts without manual research.
Customizing landing pages
For every prospect, the platform creates a dedicated, personalized landing page featuring their own video and dynamically arranged content that boosts relevance and engagement. Each prospect lands on a page built around them, not a generic link – which is what lifts replies.
Creating the customized videos
Response AI uses the recorded pitch, prospect-specific data, and website recordings to automatically create thousands of personalized videos, enabling high-impact, scalable outreach. Thousands of individual videos ship from one pitch, turning a manual task into a scalable engine.
Consistent brand presentation
Centralized templates and backgrounds keep messaging, quality, and visuals uniform across every campaign – no more off-brand one-offs.
Results
Response AI’s launch drove measurable gains in engagement and efficiency, strengthened brand perception through consistent visuals, and laid a scalable SaaS foundation for deeper AI personalization ahead.
more replies
Up to 3x
more meetings booked
40-60%
faster campaign setup
Up to 70%
What client said
Karen Carter, COO
Dow Chemical Company
“We partnered on a complicated project that involved a cloud migration, new backend architecture, and deploying 7 new enterprise apps.
Intobi excelled in all areas, they were supportive, and diligent in understanding each detail before decisions. I'd highly recommend Intobi to take on any challenge.”
Related Services
A scalable, cloud-native platform engineered to generate and deliver personalized video outreach at volume.
Is Response AI a live product?
Yes — the source describes it as live and actively used by real customers, with the client already planning future development phases as of the case’s 2023–ongoing timeline.
How does Response AI personalize video at scale?
From one recorded pitch video and a CSV of lead data, the platform automatically generates a personalized video and landing page for each prospect, rather than requiring a new recording per contact.
What does Response AI run on?
The case lists Angular, AWS, C#/.NET, Python, PostgreSQL, Stripe, and OpenAI as its core stack, covering frontend, backend, hosting, payments, and AI/video generation.
Does personalization at this scale still feel genuine to prospects?
Yes, each prospect gets a video built around their own name, company, and website, on a landing page arranged for them. It reads as a one-to-one message because the content is specific, even though the pitch was recorded once.
Can Response AI fit into an existing sales stack?
It works from a simple CSV of leads and centralizes recording, personalization, and delivery in one SaaS platform, so teams can layer it onto their current outreach process rather than replacing the whole workflow.