A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Dashboards people use
Warehouse-first dashboards designed for adoption, not just coverage.
Governed analytics on Omni, in production
Brainforge takes Omni from trial to a trusted, warehouse-first analytics layer, semantic models, governed metrics, and dashboards your team actually uses.
Is this you?
- You're evaluating or trialing Omni and need it production-ready and governed.
- Metric definitions drift between teams and you need one trusted source.
- You want dashboards built warehouse-first, close to the data.
OmniPartner ProgramYour rollout is scoped with Omni's team, so the semantic layer goes from trial to production on a path Omni supports.View on omni.co ↗ (opens in a new tab)What we build with Omni
Semantic layer
Governed metric definitions everyone can rely on.
Conversational analytics
Omni's AI agent set up on your semantic model, so your team asks questions in plain language and gets governed answers.
How we work together
We implement Omni for teams standardizing on governed, warehouse-first BI.
We partner with Omni on joint scoping and quickstart-to-production motions.
We maintain the semantic layer so metrics stay consistent as the business changes.
Omni at scale
Omni is a business intelligence platform with a semantic layer for shared metrics, dashboards, and queries on the warehouse. These figures are Omni's own.
- customers
- 600+
- year-over-year revenue growth, as of April 2026
- 4x
In production at BambooHR · Checkr · Cribl · dbt Labs · Guitar Center · Heidi AI · Mercury · Pendo · Synthesia
Sources: Omni partner program ↗ · Omni Series C announcement, April 23, 2026 ↗
Omni customer stories
incident.io · Software5%of queries in custom SQLdown from 70%
“By migrating to Omni, we were able to consolidate the number of dashboards in our BI tool by 5x.”Jack ColseyAnalytics Manager, incident.ioRead the story on omni.co ↗ (opens in a new tab)Handshake · Career network~40%shorter migration timelineeight weeks instead of three to four months
“Omni is way more modern and the features are way better for my team and our stakeholders to work with. The AI agent has already become so helpful.”Tyler RitterSenior Analytics Engineer, HandshakeRead the story on omni.co ↗ (opens in a new tab)Otrium · Retailabout5 hrsa week saved per personad hoc data tickets dropped to zero
“If I ask the same question to different agents, will they give me the same answer? That's quite important, because otherwise different people in the org are going to have different opinions about things.”Wouter NijdamSenior Data Analyst, OtriumRead the story on omni.co ↗ (opens in a new tab)me&u · Hospitality30x+growth in AI-driven queriesanalytics usage roughly doubled within a year
“The whole point of Omni is that whatever entry point people are most comfortable with, whether it’s a workbook, Blobby [Omni’s AI agent], or Claude, it’s the same governed model underneath. Same joins, definitions, and access controls.”Tom ImbertDirector of Data & Analytics, me&uRead the story on omni.co ↗ (opens in a new tab)
Resources
Learn
Guides for choosing your stack.
- GuideOmni Alternatives for Warehouse-First BICompare Omni alternatives for warehouse-first BI, semantic modeling, governed metrics, and self-serve analytics.
- GuideSnowflake Alternatives for Analytics TeamsCompare Snowflake alternatives including Databricks, BigQuery, Redshift, MotherDuck, DuckDB, and Postgres-based analytics paths.
- GuideBigQuery vs Snowflake vs Databricks for AICompare BigQuery, Snowflake, and Databricks for AI workloads, governed analytics, model workflows, and enterprise data teams.
- GuideMotherDuck vs Snowflake for Lean Analytics TeamsCompare MotherDuck and Snowflake for lean analytics teams choosing between lightweight DuckDB-based analytics and enterprise data warehouse scale.
Work with us
Ways to start a project with us.
Let’s scope your Omni build
We implement Omni as a governed, warehouse-first analytics layer.
More partnerships
Explore the partner ecosystem
