# Uplevel AI visibility in Software Engineering Intelligence & Developer Productivity

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

[Website](https://uplevelteam.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: 5
Joint rank: true
Total brands: 9
Measured responses: 75
Presence percent: 1.3333333333333335
Share of voice percent: 1.2448132780082988
Average position: 3
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 1.3333333333333335


## Profile

Overview: Uplevel is a Seattle-based engineering intelligence company founded in 2018. It began by measuring developer wellbeing, such as deep work, context switching and burnout patterns, and later broadened into a model that combines engineering analytics with expert guidance. The platform pulls metadata from tools such as Jira, GitHub, GitLab, Azure DevOps, Slack and calendars to show how work moves through an engineering organization. It also tracks how AI tools affect delivery. Uplevel pairs this data with developer surveys, structured interviews and practitioner-led workshops, aiming to help enterprise engineering leaders diagnose root causes and build their own capability to improve. It targets organizations with roughly 100 or more developers. Engagements progress from a free 45-minute StackUp session to a 45-day GearUp assessment and then a multi-year Uplevel Enterprise partnership. Named customers include Avalara, Accolade, Xactly, Braze, Remitly and Equinix. The company has raised about $34M in funding.
Product summary: Uplevel is an engineering intelligence platform combined with expert-led services for enterprise engineering organizations. It measures delivery, workflow, team health and AI impact using data from existing dev tools plus developer surveys and interviews. Uplevel practitioners then help leaders and teams diagnose root causes and build the capability to sustain improvement.


### Key capabilities

- Engineering metrics across the WAVE framework (Ways of Working, Alignment, Velocity, Environment Efficiency)
- DORA metrics, PR cycle time, throughput and change failure rate
- Developer focus time, deep work and 'Always On' burnout-risk indicators
- DevEx Discovery™ developer surveys and structured interviews
- AI adoption and AI impact tracking across the SDLC
- ML classification of work against initiatives despite messy Jira data
- Time and capacity allocation analysis
- Expert-led assessments (StackUp, GearUp) and capability-building programs
- Configurable org structure, filters and time-period comparisons
- SOC 2 Type II certified, with metadata-only data access



### Target users

- VPs and directors of engineering
- CTOs and engineering executives
- Engineering managers
- Enterprise engineering organizations with 100+ developers
- Teams leading AI adoption and transformation



### Key use cases

- Proving ROI on AI tool adoption and spend
- Finding delivery bottlenecks and long PR cycle times
- Protecting developer focus time and reducing burnout risk
- Understanding how engineering capacity is allocated, including unplanned work
- Reporting engineering performance to executives in business terms
- Tracking DORA metrics and incident or on-call load
- Supporting infrastructure and tooling migrations with before/after measurement

Integrations ecosystem: Uplevel says it integrates with project management, code, AI, CI/CD, calendar and chat tools. Named examples include Jira, Azure DevOps, GitHub, GitLab, Slack, Google Calendar and PagerDuty, which feeds incident and DORA data. It is listed on AWS Marketplace and Azure Marketplace. Its docs state SOC 2 Type II certification, and its FAQ states GDPR and CCPA compliance. Uplevel says it uses metadata only and never sees source code or message content. Reviewers and a competitor's blog note limited integration coverage and API support.
Pricing summary: Pricing is not published. Uplevel says pricing reflects engagement scope and is discussed after the initial StackUp session. StackUp is a free 45-minute expert session. GearUp is a 45-day team assessment requiring about 3 hours of team time. Uplevel Enterprise is an ongoing, multi-year engagement with full software access, scoped by agreement.
Review summary: Public review volume is small. Gartner Peer Insights shows 4.6/5 from 18 ratings. AWS Marketplace shows 4.1/5 from 19 ratings, 18 of them sourced from G2. Reviewers praise dashboards for deep work, 'Always On' and DORA metrics, along with team-health visibility and responsive support. Criticisms include limited integrations, weak API and export support, results that are hard to interpret, and a few weeks needed to trust the metrics after setup.
Competitive positioning: Uplevel positions itself as an engineering intelligence platform for enterprise engineering organizations (typically 100+ developers) that pairs measurement with expert-led diagnosis and capability building. Its own comparison pages contrast it with LinearB (PR workflows), Jellyfish (engineering investment) and DX (benchmarking and developer experience). They describe Uplevel's differentiator as combining system data, developer surveys and structured interviews with practitioner-led change, and as an independent company rather than a subsidiary. These are vendor claims. A competitor's blog (Jellyfish) cites G2 and Reddit feedback on limited integrations and weak API support.
Limitations: Reviewers and a competitor's blog (Jellyfish) point to limited integration coverage, weak API and export support, and metrics that can be hard to interpret. Public G2 reviews are mostly from 2022–2023. Uplevel does not publish pricing. Engagements are scoped through its StackUp, GearUp and Enterprise tiers, and the offering targets enterprise teams of about 100+ developers. Full platform access requires a full engagement and integration. The product now bundles software with expert-led services, which may not suit teams wanting purely self-serve dashboards. That last point is an inference from Uplevel's engagement model.


### Source urls

- https://uplevelteam.com/
- https://uplevelteam.com/company
- https://uplevelteam.com/product-how-it-works
- https://uplevelteam.com/compare
- https://uplevelteam.com/compare/dx-alternatives
- https://uplevelteam.com/faqs
- https://uplevelteam.com/customers/avalara
- https://uplevelteam.com/customers/accolade
- https://uplevelteam.com/customers/xactly
- https://uplevelteam.com/customers/equinix
- https://uplevelteam.com/hubfs/Uplevel_November2023/pdfs/Uplevel_Case-Study-Qualtrics.pdf
- https://docs.uplevelteam.com/PagerDuty-33deb76b42b7803083bde49cc3132614
- https://www.geekwire.com/2022/uplevel-a-seattle-startup-that-measures-engineer-productivity-raises-20m/
- https://www.forbes.com/sites/phoebeliu/2022/07/13/engineering-insights-company-uplevel-announces-20-million-series-a-funding/
- https://siliconangle.com/2022/07/13/uplevel-whose-platform-boosts-developer-productivity-job-satisfaction-raises-20m/
- https://www.cbinsights.com/company/uplevel/financials
- https://www.gartner.com/reviews/product/uplevel-platform
- https://aws.amazon.com/marketplace/pp/prodview-hvnfb2carkovm
- https://jellyfish.co/blog/uplevel-alternatives/
- https://pitchbook.com/profiles/company/498053-71

Research approved: 2026-11-05T21:22:58.54791+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Avalara | During a GitLab migration, Avalara improved deployment frequency and cut merge request cycle time from 4 weeks to 3 hours, with bug rates staying below benchmark. | 1,100% improvement in deployment frequency |
| Accolade | Using Uplevel insights, Accolade increased deep work time and production deployments within a year. | 205% increase in production deployments; 20% more deep work time |
| Xactly | Uplevel showed that unplanned work such as Slack requests and ad hoc meetings was consuming developer time. Addressing it increased available development time. | 17% increase in available dev time |
| Qualtrics | One engineering team used the Deep Work and Always On metrics to guide an action plan. Its quarterly engagement score rose from 73% to 83%. | Engagement score 73% to 83% |
| Equinix | In a lead-to-cash program, AI-assisted test generation and coverage reporting raised test coverage and shortened user acceptance testing cycles. | 80%+ increase in test coverage |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| Gartner Peer Insights | 4.6 | 5 | 18 | https://www.gartner.com/reviews/product/uplevel-platform |
| AWS Marketplace | 4.1 | 5 | 19 | https://aws.amazon.com/marketplace/pp/prodview-hvnfb2carkovm |



### Review themes



#### Praised

- Dashboards for deep work, 'Always On' and DORA metrics
- Visibility into team health and burnout risk
- Combines calendar, Slack, Jira and Bitbucket data in one place
- Useful for sprint planning and 1:1 prep
- Responsive vendor support



#### Criticized

- Limited integration coverage (e.g., Microsoft DevOps was requested at the time)
- Poor API support and limited metric export for automation
- Results can be hard to interpret
- Takes a few weeks to trust the metrics after setup
- Meeting data can be distorted when people skip mandatory meetings




### Company facts

Founded year: 2018
Hq: Seattle, Washington, USA


#### Founders



Employees range: Not available
Total funding: ~$34M
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 | 0 | 0 |
| google-ai | 1 | 4 |
| perplexity | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | 1 | 1 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which developer productivity platforms sync with HR and payroll systems to attribute engineering investment by team and cost? | 3 |
| Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools? | 3 |
| What are the best tools that combine developer sentiment surveys with delivery data to find what slows teams down? | 3 |
| Which tools support software capitalization reporting for finance, based on actual engineering activity? | 3 |
| Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 0 |
| Developer Experience | 5 | 0 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 0 |



## 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: Not available
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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
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: Not available
Google-ai: 1
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: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
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: Not available
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: Not available
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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
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: Not available
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://uplevelteam.com/blog/top-engineering-intelligence-platforms-2026 | Top Engineering Intelligence Platforms 2026: A Buyer's Comparison | uplevelteam.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/fed1c5880d56d7224912241c040789b0133141f7.tone-dark.png | commercial | blog_post | 3 | 3 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | google-ai | ### Alternative Models (Where Services Are Typically Required) Vendors like Uplevel or enterprise-heavy tiers of Jellyfish often approach rollouts for 500+ developers differently. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Jellyfish | The strongest candidates are Jellyfish, Swarmia, LinearB, and Faros AI. They differ in how deeply they integrate HR and payroll data versus simply estimating engineering effort. |
| chatgpt-search | Swarmia | The strongest candidates are Jellyfish, Swarmia, LinearB, and Faros AI. They differ in how deeply they integrate HR and payroll data versus simply estimating engineering effort. |
| google-ai | Swarmia | Swarmia * How it handles the connection: Swarmia integrates with your HRIS to account for part-time schedules, employee locations, vacations, and sick leave. |
| perplexity | Jellyfish | Jellyfish — combines engineering activity with roster, HR, payroll, and cost data to calculate team and initiative-level effort and cost, and to support capitalization reporting. |
| 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 | DX | ## 1. Best tools compared \| Platform \| Developer surveys \| Delivery analytics \| Best for \| \|---\|---\|---\|---\| \| DX \| Excellent \| Excellent \| Deep developer experience research \| \| Jellyfish \| Excellent \| Excellent \| Connecting sentiment to engineering... |
| chatgpt-search | Jellyfish | ...\| Delivery analytics \| Best for \| \|---\|---\|---\|---\| \| DX \| Excellent \| Excellent \| Deep developer experience research \| \| Jellyfish \| Excellent \| Excellent \| Connecting sentiment to engineering outcomes \| \| Swarmia \| Very good \| Excellent \| Identifying... |
| chatgpt-search | Swarmia | ...Deep developer experience research \| \| Jellyfish \| Excellent \| Excellent \| Connecting sentiment to engineering outcomes \| \| Swarmia \| Very good \| Excellent \| Identifying team-level bottlenecks \| \| LinearB \| Very good \| Excellent \| Diagnosing delivery wor... |



## Trend

Visibility delta: Not available
Avg position delta: Not available
Citation count delta: Not available