By Steep
Report updated May 12, 2026
Steep
For data teams and business users in organizations seeking to replace manual dashboarding with governed, metric-first analytics.
Steep is an established business app that is free with in-app purchases. With a 5.0/5 rating from 2 reviews, it shows polarized user reception.
What is Steep?
Steep is a metrics-first BI platform for data teams and business users, available on Mac, iPhone, and web.
Users hire Steep to eliminate manual dashboard creation and ensure data trust via a centralized semantic model, allowing non-analysts to explore metrics independently.
Current Momentum
v0.4 · 1mo ago
Maintenance- Ships semantic layer support for dbt.
- Maintains cross-platform availability on mobile.
Active Nemesis
Fragmented niche
No dominant direct rival identified yet — see Other Rivals below.
Other Rivals
7-Day Rank Pulse 🇺🇸
BusinessNo ranking data
Rating Pulse 🇺🇸
What makes this app unique?
What Does It Look Like?
How Is The App's Momentum Right Now?
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What Are The Key Features?
Centralized repository for metric definitions, dimensions, and entities that replaces manual dashboard creation
Native support for dbt and Cube semantic layers to sync version-controlled code with BI visualizations
Natural language interface for querying metrics and generating reports without manual SQL or analyst intervention
How much does it cost?
- Free tier for up to 3 users
- Custom enterprise pricing for larger teams
Freemium model uses a 3-user cap to drive individual adoption before requiring enterprise-level conversion.
Who Built It?
Enrichment in progress
Publisher profile available very soon
What other apps does Steep make?
What do users think recently?
Analysis in progress, available soon
What is the competitive landscape for Steep?
How's The Business Market?
Steep operates in the Business category, positioning itself as a metrics-first BI platform. The freemium model uses a 3-user cap to drive individual adoption before requiring enterprise-level conversion. The platform competes for professional screen time against verticalized management tools and general BI platforms.
The rivals identified
Peers
Integrates mobile-first customer service tools directly into the analytics dashboard for immediate seller action.
Provides deep ecosystem-specific sales data that general BI platforms like Steep cannot natively replicate.
Features a specialized job matching engine and credential management system for the nursing industry.
Offers a highly verticalized dashboard experience that prioritizes assignment status over general data exploration.
Specializes in workforce forecasting and internal resume management for the construction and professional services sectors.
Provides a dedicated AI engine tailored for resource allocation that exceeds Steep's general BI capabilities.
Focuses heavily on incentive program tracking which Steep lacks in its core BI offering.
Integrates AI-driven insights specifically for carrier performance rather than general-purpose semantic data modeling.
New Kids on the Block
Deploys an Agentic AI suite for real-time SLA monitoring that automates tasks Steep requires users to analyze.
Provides specialized rental management and fleet cost tracking tools not found in general BI platforms.
The outtake for Steep
Strengths to defend, gaps to attack
Core Strengths
- Semantic layer integration (dbt/Cube) creates high switching costs for data-mature organizations
- AI-powered natural language interface reduces analyst dependency for business users
- Centralized metrics catalog ensures data consistency across enterprise teams
Critical Frictions
- 3-user freemium cap restricts viral adoption within larger organizations
- Android version (v0.4.0) lacks the maturity of the iOS build
- Total review count (1) indicates low market penetration
Growth Levers
- Expand B2B partnerships with data-warehouse providers to increase distribution
- Develop vertical-specific metric templates for resource-heavy industries like construction
Market Threats
- Agentic AI platforms automate operational monitoring, bypassing manual BI exploration
- Verticalized competitors provide deeper ecosystem-specific data than general BI platforms
What are the next best moves?
Raise freemium user cap to 5-10 users because the 3-user limit bottlenecks team-wide adoption → increase enterprise conversion velocity
The 3-user cap is a known friction point for team-wide adoption in enterprise environments.
Trade-off: Pause the AI-interface refinement sprint — team-wide adoption has a higher revenue impact than marginal AI improvements.
Audit Android feature parity because the platform lacks the maturity of the iOS build → reduce churn risk for cross-platform teams
Android version is at v0.4.0 compared to iOS v2.0.2, indicating a significant feature gap.
Trade-off: Deprioritize new web-based dashboard templates — mobile-first parity is essential for professional screen time.
A counter-intuitive read
The 3-user freemium cap is not a growth lever but a structural barrier that forces Steep into a high-touch enterprise sales cycle before the product can prove its value to the wider organization.
Feature Gaps vs Competitors
- Real-time SLA monitoring (available in Facilio Vendor but absent here)
- Workforce forecasting (available in Bridgit Bench but absent here)
- Incentive program tracking (available in MyCarrier Partners but absent here)
Key Takeaways
- The semantic layer integration is the primary technical moat, but the 3-user cap acts as a growth ceiling.
- Agentic AI entrants are shifting the value from "explorable data" to "automated action," threatening Steep's manual-exploration model.
- Prioritize enterprise-wide adoption features to move beyond the individual-user bottleneck.
Steep wins on technical trust through semantic layer integration, but the 3-user freemium cap bottlenecks enterprise growth, so the PM should prioritize team-wide access to capture larger accounts.
Where Is It Heading?
Mixed Signals
The BI market is shifting toward automated, agentic workflows that reduce the need for manual metric exploration. Steep's reliance on manual semantic modeling leaves it exposed to these automated entrants unless it integrates more proactive alerting and agentic features.
The platform maintains a stable release cadence for semantic layer integrations, ensuring technical parity with dbt and Cube ecosystems.
The emergence of agentic AI competitors like Facilio threatens to automate away the manual exploration workflows that Steep currently requires.