We’re at an inflection point. LLMs and agentic workflows are making a much needed rethinking of B2B GTM possible. WIth post-transformer models and AR around the corner, this leads to a generational opportunity to build a new GTM Operating System.
Similar to what happened c. 2005 with the emergence of cloud - every public and private tech vendor must rethink their GTM to be viable.
Source: Battery Ventures
It’s finally possible to do 1:1 personalization at scale.
Traditionally 1:1 ABM, let alone personalization was only possible for a handful of accounts that had >$2MM in ARR.
Today, you can leverage Poexis AI agents to do this at 1/1000 the cost.
Minimum price per million tokens for an LLM with a 42 MMLU score
Credits: A16Z / Guido Appenzeller
Agentic systems - especially composable multi-agentic systems like Poexis - able to chip away at labor intensive, expensive tasks
* $1.1 Trillion dollars annually in headcount costs in Sales & Marketing
* US businesses spend upwards of $5 trillion on knowledge workforces.
Source: NFX Ventures
Post-transformer architectures with stronger reasoning & world model capabilities can take multi-agentic workflows to near autonomy.
Beyond models like o1, what’s on the immediate horizon include techniques & architectures like RWKV, SSM / Mamba, JEPA and more..
Source: AI21
Consumer-grade AR/XR in variety of form factors can lead to an explosion of digital experiences (beyond current number of screens)
AR use cases in GTM are not just limited to B2C experiences. For instance,
* Events & Conferences
* Meetings
* Demos
* Briefings
* Digital Twin
