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Pricing Comparison

Engineering Tools Pricing Guide

Compare pricing models, indicative costs, and ROI potential across SignalsAI, LinearB, Swarmia, Jellyfish, DX, minware, and Faros AI.

Based on public & marketplace data Use as directional guidance only
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Pricing data is directional and sourced from public pages and marketplace benchmarks. Vendors regularly update pricing and offer volume discounts. Always verify directly with vendors before making budget decisions.

At-a-glance pricing table

ProductPricing ModelIndicative Cost (USD)Notes
SignalsAI
Per-seat / per-team, customContact salesValue-based pricing tied to automation depth — not just seat count. Tailored by team size, repo integration, and AI agent usage.
LinearB
Per contributor / month~$29–$59 / contributor / moEssentials ~ $29, Enterprise ~ $59. Enterprise contracts often in the low–mid five figures annually.
Swarmia
Per developer, annual~$4.5k–$27k / yearMedian annualized contract ~$18.7k. Exact list pricing not public; negotiated deals dominate.
Jellyfish
Seat-based + module-based, customQuote onlyPricing depends on seat count and which product modules are purchased. No public list price.
DX (GetDX)
Per developer, tiered + custom~$21k–$127k+ / yearMarketplace median ~$51.5k/year. Multiple tiers with volume discounts and multi-year incentives.
minware
Per contributor, tiered SaaSFree (1–5 contributors) / $25 / contributor / mo (Business)Enterprise plan is custom. Lowest entry point in the market. Includes reporting, export, and support tiers.
Faros AI
Per user / month, SaaS~$15+ / user / mo (listed)Enterprise contracts vary by modules, users, and scale. Marketplace starting price ~$15/user/mo.

SignalsAI's pricing philosophy

SignalsAI operates on a sales-led, custom-pricing model designed to align cost with value captured — not just headcount.

Team size

Pricing is scaled to the number of contributors and teams using the command center, reports, and analytics.

Integration depth

Reflects the depth of repo integration and number of active projects being managed through the platform.

AI automation scope

Auto follow-ups, risk radar, and orchestration usage. The more automation replaces manual PM work, the higher the value — and pricing reflects that.

How to think about ROI: Most teams compare annual cost against hours saved per week in PM coordination, follow-ups, reporting, and rework — plus the improvement in sprint delivery rate and reduced risk slippage. Use our ROI calculator to model this for your team.

How SignalsAI compares conceptually

vs LinearB / Swarmia / DX / Jellyfish

These tools price per developer or per seat, anchored on analytics and governance access. SignalsAI leans toward value-based pricing — your cost scales with how much PM toil and delivery friction is automated away, not just headcount with dashboard access.

vs minware / Faros AI

minware and Faros follow standard SaaS per-contributor / per-user models with transparent tiers (minware even has a free tier). SignalsAI behaves more like a delivery OS — pricing reflects the depth of integration into your delivery workflows and AI agent orchestration, not just data access.

The right comparison metric

When comparing contracts, teams look at annual cost per active engineer and the time saved in PM/lead coordination and reporting. A platform that costs more per seat but saves 10+ hours/week per PM often delivers 5–10× ROI over dashboard-only tools.

See how the features compare too

Pricing is only part of the picture. View the full feature-by-feature breakdown across all 7 platforms.

View Feature Comparison

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