A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Week of September 29, 2026
The Brainforge Way
Field notes on making data and AI useful in the day-to-day.
A quick hello
Most AI never leaves the demo. Ours does.
Hi. Whether you’re a partner, a client, friend or someone we’ve been hoping to meet, here’s a short update from Brainforge.
You’ve seen the demo. The agent that answers any question, the pipeline that heals itself overnight, the dashboard an exec can actually read. Then Monday comes and nothing is different.
The gap is never the model. It’s everything around it: messy systems, heavy workflows, and people who need it to run without us in the room. Closing that gap is the work. Brainforge is an AI-native services firm that builds conversational analytics, agent-native data pipelines, and the platform underneath, for mid-market teams in regulated industries and consumer brands.
Brainforge Team
Here’s what’s in this issue: four things we’re seeing in the field, three partners worth a look, three things we’re following, two demos, and where to find us this month.
A few asks up top
- Follow us on LinkedIn for the latest.
- Reply with an AI tool that actually saved you time this month. We’ll share the best ones next issue.
- Come see us this month. We’ll be in SF, Austin, Chicago, NYC, Toronto, and Denver.
01 / What we are seeing
Four field signals worth taking back to your team.
Signal 01
If your agents ship without traces
What we are seeing: Agents are nondeterministic, so prompts and final answers only tell you what happened, not why. Most teams instrument for volume, not quality: they log how often an agent ran, not whether it ran well. Without traces you can’t see why a run got expensive, went sideways, or quietly drifted. Traces, evals, and cost tracking let you replay a bad run and fix the real cause instead of guessing.
Signal 02
If your warehouse agents never leave the warehouse UI
What we are seeing: Superhuman shipped a Snowflake connector. Put a Snowflake agent on a semantic view, and you can call it from Superhuman Go right inside your inbox: answer a performance question in place, draft a reply with a table, and skip the tab-switching tax.
Signal 03
If your agents reason beautifully over the wrong data
What we are seeing: Better prompting hits a ceiling when an agent is reasoning over the wrong information. Keyword-only search matches words, not meaning, so ask who is frustrated with reporting and you get nothing if nobody typed the word reporting. We rebuilt our own retrieval layer with hybrid BM25 plus semantic search, chunked indexing, and reciprocal rank fusion; relevance went from 59% to 91%.
Signal 04
If your pipelines still need a human babysitter
What we are seeing: Mid-market teams are tired of brittle orchestration. One client’s pipeline ran broken for a month before anyone noticed. Approaches like MotherDuck Flights put agents and engineers on the same code path, so agents can help write, run, and fix pipeline work instead of sitting in a silo next to it.
02 / What we are following
Worth asking inside your stack.
Everyone gets a data scientist
Two posts this month point the same direction. Clay gave every employee a Slack-based analytics agent, and OpenAI put a data agent inside ChatGPT Work.
That is the future we are building for clients too, with one difference: the stack. Frontier teams can host their own services, run their own semantic layer, and put everyone in GitHub. The teams we serve cannot, and should not have to.
So we build on best-in-class. For a data analytics agent that connects to many warehouses and integrates directly into Slack, that is Omni, whose MCP server has quietly done a lot: an agent can read and edit your semantic layer from the tool you already work in. We have built this for several clients, and we have demos to share, including the SPINS retail walkthrough built on Omni and ClickHouse.
Synthetic Hospital
A new open benchmark releases a dataset of 1,268 synthetic patients and 5,602 encounters with zero PHI, and physicians could not reliably tell the charts from real ones. Synthetic data like this is how teams build and test healthcare agents without touching protected records. We’re loading it into ClickHouse to demo exactly that.
Read the paper → · Explore the dataset →
Evals, not vibes
Evals turn “the agent seems fine” into a number. Before a change ships, we score it against golden questions, so a regression shows up in a dashboard instead of in a customer’s inbox.
Partner spotlight
ClickHouse, Langfuse, and Superhuman
Real-time analytics without a heavyweight warehouse program. Brainforge is a ClickHouse services partner, and we’re co-hosting an Austin happy hour with ClickHouse and Google on October 21.
Open-source LLM observability. We run Langfuse in production across six agent surfaces. It’s how we catch a bad run before a customer does.
SUPERHUMANAI email with a Snowflake connector, so an agent on a semantic view can answer right in the inbox. See the walkthrough in Signal 02.
Partners we build with
03 / See it in action
Two demos worth watching.
Two practical examples of agents meeting people where they already work: one inside Slack, and one on top of a metric layer the business can trust.
AI Analyst for SPINS Data: Query Retail Performance in Slack
A quick demo showing how specialty brands can query SPINS and syndicated retail data directly through Slack. See how teams can analyze performance, track trends, identify risks, and get answers from retail data without jumping between tools. Built on Omni and ClickHouse.
Snowflake Semantic Views: A Working Metric Layer for Cortex Analyst
04 / Where to find us
Find Brainforge in four cities this October.
Oct 21 · Austin
Google × ClickHouse × Brainforge Happy Hour
Wednesday, October 21 · 4:00–6:00 PM CT
Austin, Texas
Oct 5–6 · Denver
Robert in Denver
Connect with the Brainforge team while Robert is in Denver.
Oct 6–7 · Chicago
Mind the Product Chicago with Pendo
Meet Brainforge and Pendo at Mind the Product Chicago.
SUPERHUMANOct 7–8 · Toronto
Robert and Andy in Toronto
A Superhuman partner event with Robert and Andy.
One last thing
Know a team sitting on customer data, or metrics they don’t trust?
Forward this newsletter. Find us at an event if you are nearby, or schedule time to talk through what you are building.
