Observed Signal · Feb 13, 2026 · Funding · Source: CMSWire · Impact: 2/5 · Sentiment: Positive

Scala Exits Stealth With $8.5M for Contact Center Intelligence

Executive Signal Summary

Bellevue, Washington-based Scala emerged from stealth on Feb. 11, 2026, with $8.5 million in seed funding co-led by Madrona and FUSE. The startup introduced what it calls the first operational intelligence platform for modern contact centers where human agents work alongside AI. The platform unifies data across systems, channels, agents, and AI to deliver real-time observability, cross-channel visibility, and actionable insights. Scala was founded by Ardie Sameti, previously at Accolade, and Rajeev Singh, co-founder of Concur Technologies and current CEO of Smartsheet. The funding will support the development of its hybrid workforce support capabilities, addressing fragmented tools and static dashboards that limit contact center leaders.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

Seed funding for a contact center AI platform is relevant to the CX/MarTech space but is not a major industry shift.

SIGNAL RADAR

Track Madrona Venture Group Signals & Market Shifts in Real-Time

Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.

Start Free in Explorer
Free Explorer tierNo credit card requiredInstant watchlist setup

Key Takeaways & Evidence Grounding

  • Scala raised $8.5 million in seed funding.
  • Funding was co-led by Madrona and FUSE.
  • Scala launched an operational intelligence platform for hybrid AI-human contact centers.
  • The company is based in Bellevue, Washington.
  • Founders are Ardie Sameti and Rajeev Singh.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: CMSWire•Published: Feb 13, 2026

Related Market Signals & Shifts

Recent verified developments and strategic activity across this market segment.

Agentic InfrastructureOct 7, 2026

Stacklok Brings Agent Harnesses to the Cloud

Stacklok, founded by Kubernetes creators Craig McLuckie and Joe Beda, is pivoting from software supply chain security to Kubernetes-based agentic solutions. They are developing Mecatl, a cloud-native agent harness, and ToolHive, an open-source platform for managing MCP servers. The company aims to help enterprises run and govern AI agents centrally, reducing dependence on frontier labs and hyperscalers. The commercial product is an 'enterprise spine' offering identity, authorization, policy, and auditing. Stacklok raised a $17.5M Series A in 2023. The article discusses the challenges of moving agent loops to the cloud and the company's vision for enterprise governance of agent interactions.

Read assessment
Market IntelligenceSep 29, 2026

A Reasoning Flywheel for the Physical Economy: Why We Invested in Atomic

Madrona announced a new investment in Atomic, a company focused on the physical economy, with a blog post by Matt McIlwain dated September 29, 2026.

Read assessment
FundingSep 15, 2026

Jack & Jill Raises $40M Series A for AI Hiring Agents

London-based startup Jack & Jill has raised €34.68 million ($40 million) in a Series A round led by Air Street Capital to scale its AI agents that broker introductions between jobseekers and employers. The company operates two AI agents: 'Jack' works for jobseekers, conducting voice conversations to understand their preferences, while 'Jill' works for employers, sourcing candidates from Jack's network. When both agents agree on a match, the two parties are introduced directly without an application. The startup, founded in March 2025 by Matt Wilson and Saaras Mehan, has seen rapid traction, with 12,000 hours logged by users talking to Jack, and 5,000 businesses using Jill. The new capital will fund expansion in the US, following launches in San Francisco and New York. Total funding now stands at €52.9 million ($60 million).

Read assessment

Track Real-Time Market Signals & Shifts

Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.