Session AI

Session AI provides an in-session marketing and "agentic decisioning" platform for ecommerce brands. Its software scores the purchase intent of each website or app visitor on every click, using models trained on the retailer's own traffic, and can identify buyer intent within about five clicks for both known and anonymous shoppers. Based on those predictions, the system triggers an in-session experience such as a discount offer, a free-shipping nudge, a search rerank, a content swap, or an escalation — or withholds an offer entirely when a visitor is judged likely to convert without one.

The platform is organized around a repeating loop of goal setting, prediction, segmentation, action and learning: customers define goals and constraints such as budget, margin and inventory; sessions are placed into behavioral cohorts that update in real time; actions are fired during the session; and results are measured against control groups via A/B testing to retrain the models. Marketed use cases include replacing sitewide promotional banners with per-visitor messaging, reducing overall promotional intensity and blanket discounting, clearing excess inventory through gradual targeted discounts, and converting anonymous traffic without collecting personally identifiable information.

The company describes itself as the pioneer of the in-session marketing category and positions the approach as suited to a privacy-first environment shaped by the decline of third-party cookies and increasing regulation of PII. It states it has developed the technology over roughly a decade and holds patents covering its methods.

Founding story

Session AI was founded in 2014 and states it has built its prediction technology over a decade, learning from customer deployments to improve results at scale. Debjani Deb is identified as a co-founder and served as CEO through at least 2022.

Business model

Session AI sells its platform as a B2B software-as-a-service subscription to ecommerce retailers. It is also transacted through AWS Marketplace, where it is listed as a SaaS product deployed on AWS with a 12-month contract.

Subscription contracts priced on a single dimension of annual site traffic — the volume of visitor sessions the platform processes over the term. The AWS Marketplace listing shows a 12-month contract dimension at $250,000 for annual site traffic, with additional units purchased as traffic grows; integration, out-of-the-box reporting, continuous model retraining and audit trails are described as included rather than separately priced.

Traction

The company cites customer outcomes including a 5% higher conversion rate for a site with 10 million weekly sessions, 4% higher sitewide revenue for a $300M retailer, a 35% reduction in promotions equating to $40M in savings, and 10x annual ROI for a $5B retailer; a footwear retailer case study projects a 5% move on $220M in ecommerce revenue and a 20x return. Aggregate figures cited on its about page are more than 35% lower total discount rate, more than 32% lift in conversion rate and more than 10x return on investment.

Latest developments

The company now markets a Session Marketing Agent built on an agentic decisioning loop that sets goals and constraints, predicts outcomes per visitor, acts with nudges or offers, and learns from A/B measurement. Current leadership lists Sanjeev Kulkarni as CEO, Debjani Deb as President and Alexander Hooshmand as Executive Chairman, with SignalFire's Chris Scoggins and Tony Pezzullo on the board.