# Swarmia AI visibility in Software Engineering Intelligence & Developer Productivity

Canonical: https://devtune.ai/verticals/software-engineering-intelligence/swarmia

[Website](https://www.swarmia.com/)

Latest AI responses: 2026-11-11
[Tracked on paid plans](https://devtune.ai/pricing): Google AI Mode, Microsoft Bing Copilot Search, Claude with web search, Grok Search
Prompts: 25
Runs: 3


## Platforms

- chatgpt-search
- google-ai
- perplexity

Rank: 1
Joint rank: true
Total brands: 9
Measured responses: 75
Presence percent: 33.33333333333333
Share of voice percent: 16.59751037344398
Average position: 5.4
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 66.66666666666666


## Profile

Overview: Swarmia is a software engineering intelligence platform founded in 2019 by Otto Hilska and based in Helsinki, Finland. It connects data from source control, issue trackers, CI, chat, HR systems and AI coding tools into one model of the engineering organization. The platform covers engineering metrics such as DORA and pull request cycle time, AI adoption, cost and impact tracking, developer experience surveys, and software capitalization reporting. It also offers working agreements that help teams set and track improvement goals. Swarmia says it is built to be transparent to the engineers who use it rather than to monitor individuals. The company is venture-backed, including an $11M Series A in June 2025. It publishes per-developer pricing and offers a free plan for small companies. Named customers include Miro, Webflow, Docker, Lovable, Gorgias and Hostaway.
Product summary: Swarmia is a software engineering intelligence platform that helps engineering leaders and teams see whether they are working on the right things and find what is holding them back. It combines code, issue and DORA metrics, AI adoption, cost and impact, developer experience surveys, investment balance, working agreements and software capitalization on one data model.


### Key capabilities

- Engineering metrics: PR cycle time, review time, DORA metrics, issue metrics and CI visibility
- AI tool adoption, activity, cost and impact tracking for Copilot, Cursor and Claude Code, plus cloud and review agents
- Developer experience surveys viewed alongside system data
- Software capitalization reports and timesheets
- Investment balance, focus and initiatives tracking
- Working agreements for team-level goals, with Slack and Teams notifications
- Forecasting using Monte Carlo simulation
- Data cloud, Export API, custom reports and MCP access
- Swarmia AI assistant for exploring data



### Target users

- Engineering leaders (CTOs, VPs of Engineering)
- Engineering managers
- Software development teams
- Product and finance stakeholders working on software capitalization
- Developer experience and platform teams



### Key use cases

- Reducing pull request cycle and review times
- Tracking AI coding tool adoption, cost and ROI
- Measuring DORA and delivery performance
- Understanding investment balance across features, maintenance and tech debt
- Automating software capitalization reporting
- Running developer experience surveys and acting on results
- Giving leadership visibility into initiative progress

Integrations ecosystem: Swarmia integrates with code hosting (GitHub, GitHub Enterprise Cloud and Server, GitLab Cloud and Server, Azure DevOps). It also integrates with issue trackers (Jira Cloud and Data Center, Linear, Azure Boards, Shortcut, GitHub Issues, Asana, ClickUp), Slack and Microsoft Teams. Incident tools include PagerDuty, incident.io and ServiceNow; some of these are on-demand for Enterprise customers. For AI coding tools, the integrations page lists GitHub Copilot, Cursor, Kiro and Amp, while the docs list built-in GitHub Copilot, Cursor, Claude Code, Codex and Devin integrations, automatic detection of review agents such as CodeRabbit, and custom AI tool integrations. SSO covers Google, Okta, GitHub and Microsoft Entra ID. GitHub Actions and CI/CD deployment APIs are supported. The data platform includes Data cloud exports to BigQuery, Snowflake and Redshift, an Export API, and a Swarmia MCP for Claude, Cursor and other MCP-compatible AI tools.
Pricing summary: Swarmia publishes per-developer pricing, billed annually. Standard costs $45 per developer per month and bundles all four modules. Enterprise costs $55 and adds on-premise integrations, HR system integrations and professional services. Individual modules are AI adoption & cost at $5, Developer surveys at $9, Software capitalization at $18, and Productivity & AI impact at $23. Monthly billing costs more than annual. A free plan covers companies with fewer than 10 developers and excludes HRIS integrations and Swarmia AI. The free trial needs no credit card. Partner-affiliated startups can get 30-50% off their first year. Billing counts people added to teams in Swarmia.
Review summary: Swarmia has a 4.4/5 rating on G2 from about 319 reviews. It has 4.5/5 on Gartner Peer Insights from 31 ratings. Reviewers praise visibility into work patterns, fast setup and integrations, actionable PR and delivery insights, and the pairing of surveys with system metrics. Criticisms include pricing, limited report customization, and some metric edge cases.
Competitive positioning: Swarmia positions itself as a software engineering intelligence platform that combines engineering metrics (DORA, PR and issue metrics), AI tool adoption, cost and impact, developer experience surveys, and software capitalization in one data model. It stresses improving the system people work in, with working agreements and transparency for engineers, and it says it is not a tool for measuring individuals harder. Pricing is public and per developer, and there is a free plan for companies with fewer than 10 developers. Third-party comparisons note that Jellyfish does not publish prices. G2 comparison pages show Swarmia with a lower rating than LinearB and Waydev but a much larger review count, and its largest reviewer segment is small business.
Limitations: Pricing is per developer and some reviewers call it high. G2 comparison summaries note pricing concerns and reviewers considering lower-cost alternatives. Third-party summaries cite limited customization for reports and investment categories, and metric edge cases such as in-progress timing with draft PRs. The free plan is limited to companies with fewer than 10 developers and excludes HRIS integrations and Swarmia AI. On-premise and HR integrations require the Enterprise plan. Some integrations are on-demand and Enterprise-only.


### Source urls

- https://www.swarmia.com/
- https://www.swarmia.com/pricing/
- https://www.swarmia.com/integrations/
- https://help.swarmia.com/features
- https://help.swarmia.com/settings/integrations/ai-coding-tool-integrations/custom-ai-tool-integrations
- https://www.swarmia.com/product/data-platform/
- https://www.swarmia.com/blog/series-a-funding/
- https://pitchbook.com/profiles/company/459744-76
- https://sacra.com/c/swarmia/
- https://www.gartner.com/reviews/product/swarmia
- https://www.g2.com/products/swarmia/reviews?page=2&qs=pros-and-cons
- https://www.g2.com/compare/swarmia-vs-waydev
- https://www.g2.com/compare/linearb-vs-swarmia
- https://www.rfp.wiki/it-security/software-development/developer-productivity-insight-platforms/swarmia
- https://www.tempo.io/blog/swarmia-vs-jellyfish
- https://www.swarmia.com/customers/productsup/
- https://www.swarmia.com/customers/hostaway/
- https://www.swarmia.com/story/learnship/
- https://www.swarmia.com/customers/gorgias/
- https://www.swarmia.com/customers/cdq/

Research approved: 2026-11-05T21:22:58.120146+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Productsup | Using Swarmia and working agreements, the team cut cycle time and review time and increased throughput within four weeks. | 69% decrease in cycle time |
| Hostaway | Working agreements and visibility cut cycle times by 50% and reduced technical debt from 24% to 5%. Time to first review dropped from days to under 24 hours. | 50% reduction in cycle time |
| Learnship | After full implementation, Learnship reduced cycle times and maintenance work, and open PRs in progress fell from 80 to 15. | 20-25% reduction in cycle time |
| Gorgias | Cycle times fell within two months of adoption, and software capitalization reporting saved the team hundreds of hours. The CTO says 80-90% of engineers use Swarmia daily. | ~40% cycle time reduction in two months |
| CDQ | Investment balance data showed 38% of time went to product impact. The team set a goal of 50-60% and says it has reached it. | 38% to 60% time on product impact |
| FactoryFix | In the first 90 days, FactoryFix saw faster PR cycle times and a higher review rate, and replaced daily stand-ups with Slack recaps. | 25% drop in PR cycle time |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.4 | 5 | 319 | https://www.g2.com/products/swarmia/reviews |
| Gartner Peer Insights | 4.5 | 5 | 31 | https://www.gartner.com/reviews/product/swarmia |



### Review themes



#### Praised

- Clear visibility into team work patterns and productivity
- Fast setup using existing GitHub, Jira and Slack tools
- Actionable PR and delivery insights
- Slack notifications that speed up code reviews
- Surveys combined with system metrics for a fuller productivity picture
- Visual project and ticket timelines
- Helpful AI chat for management analysis



#### Criticized

- Pricing concerns for some reviewers
- Limited customization for reports and investment categories
- Metric edge cases, such as in-progress timing with draft-PR workflows




### Company facts

Founded year: 2019
Hq: Helsinki, Finland


#### Founders

- Otto Hilska

Employees range: 51-100
Total funding: ~$19M-$24.8M (sources differ)
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Jellyfish | 35 | 75 | 46.666666666666664 | 5.211267605633803 |
| LinearB | 27 | 75 | 36 | 5.386363636363637 |
| Swarmia | 25 | 75 | 33.33333333333333 | 5.4 |
| DX | 17 | 75 | 22.666666666666664 | 8.045454545454545 |
| Waydev | 5 | 75 | 6.666666666666667 | 13 |
| Faros AI | 5 | 75 | 6.666666666666667 | 26 |
| Allstacks | 4 | 75 | 5.333333333333334 | 2 |
| Uplevel | 1 | 75 | 1.3333333333333335 | 3 |
| Hatica | 1 | 75 | 1.3333333333333335 | 5 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 16 | 64 |
| google-ai | 2 | 8 |
| perplexity | 7 | 28.000000000000004 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which engineering analytics platforms can a 40-person engineering team set up in an afternoon to get baseline cycle time and deployment metrics? | 1 | 1 |
| Which engineering metrics platforms do developers trust and accept, without it feeling like surveillance or individual stack ranking? | 2 | 1 |
| What are my options for engineering metrics tools with a free tier for a team under ten developers that is just starting to measure delivery? | 1 | 1 |
| What tools let us export raw engineering metrics to our data warehouse so analysts can build custom reports? | 1 | 1 |
| Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup? | 2 | 2 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | 3 |
| Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools? | 3 |
| Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own? | 3 |
| Which platforms measure the adoption, cost and real impact of AI coding assistants across teams and tools? | 2 |
| Which engineering analytics platforms forecast delivery risk and roadmap slippage across multiple teams and initiatives? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 2 |
| Developer Experience | 5 | 3 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 5 |
| Setup & First Run | 5 | 3 |



## Prompt results

- Prompt text: Which platforms measure the adoption, cost and real impact of AI coding assistants across teams and tools?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which engineering analytics platforms can a 40-person engineering team set up in an afternoon to get baseline cycle time and deployment metrics?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Jellyfish | 3 |


- Prompt text: Which engineering metrics platforms do developers trust and accept, without it feeling like surveillance or individual stack ranking?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| DX | 2 |
| LinearB | 4 |
| Jellyfish | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 3 |
| Jellyfish | 4 |


- Prompt text: Which engineering intelligence tools surface insights in team chat and pull requests, so engineers don't need another dashboard?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: 1
Perplexity: 5



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 3 |
| Jellyfish | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Swarmia | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 5 |
| Jellyfish | 6 |


- Prompt text: Which engineering analytics platforms forecast delivery risk and roadmap slippage across multiple teams and initiatives?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 6 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Allstacks | 1 |
| Jellyfish | 2 |
| LinearB | 4 |
| Waydev | 5 |


- Prompt text: Which developer productivity platforms sync with HR and payroll systems to attribute engineering investment by team and cost?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: 3
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| Swarmia | 3 |
| LinearB | 6 |
| Faros AI | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Swarmia | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which platforms help team leads set working agreements and track them, such as review turnaround time and work-in-progress limits?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: What should I look at when picking a developer productivity platform to replace homegrown spreadsheets and ad-hoc scripts for engineering reporting?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity




- Prompt text: What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement?


#### Brand position by platform

Chatgpt-search: 11
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 4 |
| Faros AI | 6 |
| LinearB | 8 |
| Swarmia | 11 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Uplevel | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 2 |


- Prompt text: What are the best developer productivity tools whose metrics hold up when teams use inconsistent ticket and branching conventions?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| LinearB | 6 |
| Jellyfish | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| DX | 2 |
| Swarmia | 3 |
| Jellyfish | 6 |


- Prompt text: Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools?


#### Brand position by platform

Chatgpt-search: 7
Google-ai: Not available
Perplexity: 4



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 3 |
| LinearB | 5 |
| Swarmia | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Waydev | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 3 |
| Swarmia | 4 |


- Prompt text: What are my options for engineering metrics tools with a free tier for a team under ten developers that is just starting to measure delivery?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| LinearB | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 4 |
| LinearB | 6 |


- Prompt text: Which platforms have the most trustworthy DORA metric calculations, with transparent definitions we can audit and adjust?


#### Brand position by platform

Chatgpt-search: 11
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 10 |
| Swarmia | 11 |



##### Google-ai

| Display name | Position |
| --- | --- |
| DX | 1 |



##### Perplexity




- Prompt text: What engineering analytics tools do engineering managers prefer for running retrospectives and one-on-ones with real data?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 4 |


- Prompt text: What are the best tools that combine developer sentiment surveys with delivery data to find what slows teams down?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |
| Swarmia | 3 |
| LinearB | 4 |
| Hatica | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| DX | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Jellyfish | 3 |


- Prompt text: Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| Swarmia | 3 |
| DX | 4 |
| Faros AI | 5 |
| LinearB | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 2 |
| Jellyfish | 3 |


- Prompt text: Which engineering intelligence vendors offer open APIs and custom data models so we aren't locked into their built-in metrics?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Faros AI | 1 |
| Jellyfish | 4 |
| LinearB | 5 |
| DX | 6 |
| Waydev | 27 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Waydev | 4 |


- Prompt text: What tools let us export raw engineering metrics to our data warehouse so analysts can build custom reports?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| DX | 2 |
| Jellyfish | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which tools support software capitalization reporting for finance, based on actual engineering activity?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Allstacks | 1 |
| Jellyfish | 2 |
| Swarmia | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Allstacks | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| Jellyfish | 2 |
| Allstacks | 3 |
| LinearB | 5 |
| DX | 8 |


- Prompt text: What engineering analytics tools work well with an existing internal developer portal or service catalog so ownership data stays consistent?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |
| LinearB | 3 |
| Swarmia | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| DX | 1 |


- Prompt text: Which engineering analytics tools handle a mix of cloud-hosted and self-managed engineering systems, with private deployment options for regulated companies?


#### Brand position by platform

Chatgpt-search: 13
Google-ai: Not available
Perplexity: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Waydev | 1 |
| DX | 4 |
| Faros AI | 9 |
| Jellyfish | 11 |
| Swarmia | 13 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Swarmia | 3 |


- Prompt text: What are the best engineering intelligence tools for showing the board how engineering time splits across new features, maintenance and unplanned work?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which engineering intelligence platforms stay accurate and fast when ingesting data from thousands of repositories across a large enterprise?


#### Brand position by platform

Chatgpt-search: 5
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LinearB | 3 |
| Swarmia | 5 |



##### Google-ai





##### Perplexity




- Prompt text: Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| LinearB | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: What platforms offer workflow automation, such as automatic pull request routing and review nudges, alongside DORA metrics?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Swarmia | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://www.swarmia.com/integrations/ | Integrations \| Swarmia | swarmia.com | Not available | commercial | product_page | 8 | 8 |
| https://www.swarmia.com/ | Swarmia: Engineering intelligence you can trust | swarmia.com | Not available | commercial | blog_post | 6 | 6 |
| https://www.swarmia.com/answers/ | What is Swarmia? \| Swarmia | swarmia.com | Not available | commercial | faq | 5 | 5 |
| https://www.swarmia.com/product/software-capitalization/ | Flexible software cost capitalization reporting | swarmia.com | Not available | commercial | product_page | 3 | 3 |
| https://www.swarmia.com/dora-metrics/ | DORA metrics for software development orgs | swarmia.com | Not available | commercial | product_page | 2 | 2 |
| https://www.swarmia.com/product/working-agreements/ | Working agreements | swarmia.com | Not available | commercial | product_page | 2 | 2 |
| https://www.swarmia.com/product/engineering-metrics/ | Engineering metrics for software organizations \| Swarmia | swarmia.com | Not available | commercial | product_page | 2 | 2 |
| https://www.swarmia.com/blog/2023-in-review/ | Swarmia enterprise scaling | swarmia.com | Not available | commercial | blog_post | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What should I look at when picking a developer productivity platform to replace homegrown spreadsheets and ad-hoc scripts for engineering reporting? | chatgpt-search | Website: LinearB Swarmia Worth evaluating for team-level engineering metrics, delivery flow, developer experience, and continuous improvement. |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | chatgpt-search | My initial shortlist would be DX, Jellyfish, LinearB, Swarmia and Faros AI. However, there's an important distinction: evidence of operating at 500+ developers is not automatically evidence of a deployment without substantial vendor services. |
| Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup? | chatgpt-search | ...is connecting source control, ticketing, and CI/CD with minimal setup and minimal manual data normalization, I would put Jellyfish, LinearB, and Swarmia at the top of the shortlist, with Faros AI worth evaluating for more complex enterprise environments. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | DX | My initial shortlist would be DX, Jellyfish, LinearB, Swarmia and Faros AI. However, there's an important distinction: evidence of operating at 500+ developers is not automatically evidence of a deployment without substantial vendor services. |
| google-ai | Uplevel | ### Alternative Models (Where Services Are Typically Required) Vendors like Uplevel or enterprise-heavy tiers of Jellyfish often approach rollouts for 500+ developers differently. |
| perplexity | Jellyfish | [1] Jellyfish is another candidate: it advertises fully self-service configuration and says it serves 1,000+ engineering organizations. |
| chatgpt-search | DX | If your primary criterion is the widest integration coverage across source control, issue tracking, incident management, and CI/CD, I would put DX (GetDX), Jellyfish, LinearB, and Swarmia at the top of the shortlist. |
| chatgpt-search | Jellyfish | If your primary criterion is the widest integration coverage across source control, issue tracking, incident management, and CI/CD, I would put DX (GetDX), Jellyfish, LinearB, and Swarmia at the top of the shortlist. |
| google-ai | Waydev | Waydev / LinearB (gitStream): Known for having some of the broadest plug-and-play integration ecosystems. |
| perplexity | Jellyfish | Jellyfish and LinearB appear to have the broadest documented coverage overall, with Swarmia also offering strong integrations across the four categories. |
| perplexity | LinearB | Jellyfish and LinearB appear to have the broadest documented coverage overall, with Swarmia also offering strong integrations across the four categories. |
| chatgpt-search | Jellyfish | Source: 9 Best Developer Performance Benchmarking Platforms for 2026Best Engineering Metrics Tools for Managers 2026 DX website 2. Jellyfish Best for executive visibility - External benchmarks across engineering organizations. |
| google-ai | LinearB | LinearB * What it does: Focuses heavily on workflow metrics, DORA metrics, and project predictability. |
| perplexity | Jellyfish | Jellyfish — Broad comparisons across engineering metrics, at team, group, and organization level. |
| chatgpt-search | DX | \| Platform \| Adoption \| Cost tracking \| Engineering impact \| Best suited for \| \|---\|---\|---\|---\|---\| \| DX \| Excellent \| Excellent \| Excellent \| Enterprise-wide AI ROI \| \| Jellyfish \| Excellent \| Excellent \| Excellent \| AI adoption, spend and engineerin... |



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