Executive roundtable series

The Knowledge Ceiling

Enterprise agents are hitting a knowledge ceiling before they hit a model ceiling. Most of an agent’s effort goes to retrieval, and task completion still stalls.

For AI engineering, platform, knowledge and technology leaders.

Region
APAC, six cities
Dates
October to November 2026
Access
By invitation
The premise

A better model will not lift the ceiling.

// the effort is in the retrieval, not the reasoning

If most of an agent’s work is assembling context and task completion still stalls somewhere around half, the constraint is not intelligence. Swapping in a stronger model buys a little headroom and leaves the actual bottleneck untouched.

That is the starting point for this series. Not a product session, and not a briefing. A table of senior people working through where their own completion rates plateau, what the retrieval step is really spending its time on, and what governed, pre-built knowledge would change.

Six cities across APAC, between October and November 2026. Each table runs under the Chatham House Rule.

The evidence
85% Of an agent’s effort spent on knowledge retrieval
50-60% Task completion rates where agent performance currently stalls

Pinecone Nexus product materials, 2026. Figures pending client verification.

What the table will cover

Three questions on the table.

Each table works through the same three questions, shaped by what the room brings to them.

Finding your own ceiling

The first question is measurement: what completion rate each organisation actually sees in production rather than in evaluation, and how much of the gap is retrieval rather than reasoning.

// tension: the model is rarely the binding constraint

Compiling knowledge before the query

Pre-building governed, cited artifacts is a different bet from assembling context on every request. This session looks at what that trade costs in freshness and what it buys in reliability.

// differentiator: a knowledge layer, not only a retrieval layer

Citations as a requirement

The table works through where cited output has moved from a nice property to a hard requirement, and what it takes to guarantee a citation rather than hope for one.

// trigger: governed, cited knowledge artifacts for agents
The series

Six cities. One ceiling.

Each city is its own table with its own room, confirmed independently. Registration of interest is open now, with dates and venues confirmed city by city.

Pre-compiling enterprise knowledge into task-specific artifacts changes what an agent can be relied on to finish.

Pinecone Nexus product materials, 2026
Before you register

Background reading.

Published Pinecone material behind the questions on the table. Share your details once to unlock all three.

Product Pinecone Nexus, the knowledge engine for agents Platform The Pinecone vector database Learning Pinecone learning centre for retrieval architecture
Request an invitation

Join us at the table.

Tell us which city suits you and we will come back to confirm your spot.

Require private transfer?
Who is convening this

About the hosts.

Pinecone

Pinecone made an early and unfashionable bet that vector search deserved a purpose-built managed service rather than a feature bolted onto an existing database. The category that grew up around it largely validated the call.

It is now the vector database for AI agents and applications, with Nexus extending it from retrieval into a governed knowledge layer.

Innovatus Media

Innovatus Media is a Sydney based B2B events agency that runs invitation-only executive roundtable series across APAC, EMEA and North America.

We convene senior decision makers for closed door conversations on the problems they are actually working on, and produce every element of the series end to end, from the room and the table to the follow up.

Questions first

Talk to the team.

Connect for more details on the series.