Speedscale blog · Jul 2026
Discusses model routing as a product and workflow decision for AI systems, reinforcing Speedscale's current positioning around AI-native validation and developer tooling.
Accelerate development by simulating production conditions with real…
Public company, workplace, funding, and market signals
Speedscale is an Atlanta-based developer tools company that helps teams validate AI-generated and cloud-native code by capturing real production traffic, sanitizing it, and replaying it in lower environments to catch regressions before merge.
Primary product
Kubernetes-native traffic replay and API testing platform (proxymock / Speedscale cloud)
Founded
2020
Headquarters
Atlanta, Georgia, United States
Team size
10-20
Work style
Flexible
Industry
Software Development
Sub-industry
Developer tools / API testing / traffic replay
Offices
0 jobs at Speedscale
Check back later for new openings
Business model
Stage
Seed / early-stage VC
Total raised
$13.6M
Latest round
Early-stage VC · Mar 2023
Latest amount
$9M
VC-backed, fast-paced, entrepreneurial startup culture with a 'work hard, play hard' and results-oriented tone. The company emphasizes close collaboration with founders, a tight-knit team, and values of Integrity, Attitude of Service, Resourcefulness, and Respect.
Work style
Flexible
Pricing
Freemium SaaS with a free local proxymock tier, Pro cloud plans, enterprise plans, and usage-based ingest add-ons.
Differentiators
Technology
Customers
Competitors
Estimated revenue
$1M-$10M
Estimated monthly visits
9K
Traffic estimate as of Mar 2025
Speedscale blog · Jul 2026
Discusses model routing as a product and workflow decision for AI systems, reinforcing Speedscale's current positioning around AI-native validation and developer tooling.
Speedscale blog · Jul 2026
A post showing how captured traffic can expose real bugs that green tests and earlier fixes missed, supporting Speedscale's behavioral replay value proposition.
Speedscale blog · Jul 2026
Explains why synthetic or imagined test data can waste time and tokens, and argues for replaying real traffic with redaction for AI-era testing.
Speedscale blog · Jul 2026
Argues that code generation is not the bottleneck and that production-traffic validation is needed to close the delivery gap for AI-generated code.
Speedscale blog · Feb 2026
Official announcement that Speedscale was named a Representative Vendor in Gartner's Market Guide for API and MCP Testing Tools.