Snapshot
Continue to About ↓- What it does
- Hivel is a software engineering analytics platform that provides engineering leaders with AI-powered visibility into software development lifecycle (SDLC) metrics.
More detail
- It helps measure AI adoption and ROI, engineering delivery flow, code quality, and developer productivity by integrating data from Git repositories, work tracking, and AI coding tools.
- The platform offers dashboards, AI-driven insights, and board-ready reporting to optimize engineering efficiency and demonstrate business impact of AI investments.
- Best for
- CTOs, VPs of Engineering, Engineering Managers, Finance/CFOs, Product Leaders, and Platform Engineers seeking to measure and optimize AI adoption, engineering productivity, and software delivery performance within engineering organizations ranging from 20 to over 200 developers.
- Pricing
- Growth plan at $25 per month (billed monthly) for organizations with 20 to 200 developers, including up to 200 contributors and unlimited viewers.
More detail
- Enterprise pricing is custom for organizations with over 200 developers and includes additional features such as SURGE Framework and flexible deployment
- Main limitation
- Organizations without engineering team integrations, casual or individual developers, or entities lacking established source control and work management systems
More detail
- also less suitable for buyers seeking a consumer or no-integration tool.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Hivel is a software engineering analytics platform that provides engineering leaders with AI-powered visibility into software development lifecycle (SDLC) metrics.
- It helps measure AI adoption and ROI, engineering delivery flow, code quality, and developer productivity by integrating data from Git repositories, work tracking, and AI coding tools.
- The platform offers dashboards, AI-driven insights, and board-ready reporting to optimize engineering efficiency and demonstrate business impact of AI investments.
What it helps with
- Lack of visibility into AI spend allocation and utilization within engineering teams.
- Difficulty measuring true AI impact on code quality, delivery speed, and developer productivity.
- Identifying delivery risks and bottlenecks in software development flow.
- Tracking engineering team health and preventing burnout.
- Demonstrating and proving AI ROI and engineering investments to stakeholders.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| DORA Metrics | Yes | Measures delivery performance for the engineering organization. |
| AI Adoption & Usage Analytics | Yes | Tracks active usage and adoption patterns of AI coding tools across teams. |
| Engineering Analytics Cockpit | Yes | Centralized command center for engineering flow and AI spend visibility. |
| SURGE Framework for AI ROI | Yes | Connects AI spend to output via Spend, Utilization, Recovery, Gain, and Efficiency metrics. |
| Automated Alerts | Yes | Notifies leaders of KPI degradation early to prevent delivery risks. |
| Board-Ready Reporting | Yes | Provides executive-level AI ROI and engineering progress reports. |
| AI Insights Engine (Lucy) | Yes | AI assistant surfaces outliers and actionable insights instantly. |
| Pull Request Analysis | Yes | Analyzes review speed, bottlenecks, and quality related to pull requests. |
| Team Health and Developer Experience Signals | Yes | Helps manage burnout and improve developer productivity and retention. |
| Enterprise Security & Compliance | Yes | SOC2 Type II, GDPR, ISO 27001 certified with SSO, audit logs, and role-based access. |
Bot trust
How confidently AI systems can verify this profile from public evidence.
78of 100
ChatGPT74/100
Claude82/100
What bots could verify
- • Identifies concrete legal entities (Insightly Analytics Inc. and Indian subsidiary), Delaware address, and named founders with source citations.
- • Examines independent review sources across G2 and Gartner Peer Insights, explicitly calling out incentivized review caveats and syndicated data.
- • Clearly details published Growth pricing ($20-$25/month) while systematically highlighting ambiguous metrics such as per-contributor fee structures.
What weakens trust
- • Security, privacy, and data access evidence is completely cut off, leaving compliance and audit claims unaddressed in the text.
- • Lacks independent verification of financial health, Delaware corporate standing, or funding disclosures.
- • Provides no independent verification of dramatic performance claims (e.g., 6-8x ROI or 56% time-to-market reduction).
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- hivel.ai
Technical profile details
Record ID
18b82e44-78ea-4f23-a3a0-750e47614295Canonical URLhttps://profiles.scribble.network/listing/hivel-18b82e