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KOSMOS

Category: AI Infrastructure

Kosmos is an AI-native operational intelligence platform that correlates customer cases, code changes, and service incidents across enterprise tools to surface root causes and reduce investigation costs for support and engineering teams. KOSMOS was founded in 2025. The company is led by Sanjay Gidwani. Based in Chicago, Illinois. Team size: 2-10. Total funding raised: $5M. Latest round: Seed. Key investors include Norwest Venture Partners.

Founded
2025
Headquarters
Chicago, Illinois
Team size
2-10
Total funding
$5M

Value proposition

Eliminates the hidden "investigation cost" by automatically correlating fragmented operational signals across siloed tools, surfacing root causes in under 60 seconds instead of hours, and building organizational memory to prevent recurring incidents

Products and solutions

AI-native Operational Intelligence Platform — correlates signals across Salesforce, Jira, GitHub, ServiceNow, Datadog, Grafana, Splunk into a unified view, generates structured Risk Events with ranked root causes, supporting evidence, and recommended next steps, human-in-the-loop validation with continuous learning, Escalation Intelligence Map for proactive pattern detection

Unique value

Kosmos is the only platform that natively correlates customer cases (Salesforce), code changes (GitHub), and service incidents (Jira, ServiceNow) simultaneously with human-in-the-loop validation, transforming fragmented operational data into structured, confirmed root cause intelligence.

Target customer

Enterprise IT support and engineering teams in organizations using multiple operational tools (Jira, Salesforce, ServiceNow, GitHub, observability platforms)

Industries served

Enterprise IT, Financial Services, Healthcare, Technology/SaaS (any sector with complex multi-tool operational stacks)

Technology advantage

AI-native architecture that sits as an intelligence layer across existing enterprise stacks (no rip-and-replace); human-in-the-loop validation creates a continuous feedback loop; patented approach to correlating three signal types (customer cases, code changes, service incidents) simultaneously; organizational memory that catches recurring patterns automatically

How they differentiate

Unlike observability tools (Datadog, Grafana, Splunk) that focus on infrastructure monitoring, or incident management platforms (PagerDuty, incident.io) that focus on alerting and response workflow, Kosmos targets the pre-remediation "investigation gap" — automatically correlating fragmented business and technical signals to show why an incident happened, not just that it happened. Human-in-the-loop design ensures trust and continuous learning.

Main competitors

PagerDuty (incident management), incident.io (incident management), BigPanda (AIOps/incident management), Moogsoft (AIOps), Rootly (incident management)

Key partnerships

Integrates with Salesforce, Jira, GitHub, ServiceNow, Datadog, Grafana, Splunk

Notable customers

Psignite, Tribble

Major milestones

2025: Company founded by Sanjay Gidwani, 2026-06: Commercial launch and $5M seed round led by Norwest, emergence from stealth, initial deployments at Psignite and Tribble

Growth metrics

304 LinkedIn followers; 2-10 employees; initial commercial deployments at Psignite and Tribble as of June 2026

Market positioning

Early-stage startup creating a new category around "investigation cost" reduction; positioned as a connective intelligence layer across existing observability, IT service management, and development tools rather than a direct competitor to any single category incumbent

Geographic focus

United States (headquartered in Chicago, IL)

About Sanjay Gidwani

Ex-COO at Copado (scaled to $100M+ ARR); ~10 years at Salesforce leading experience design and professional services; prior roles at PSignite and Entrada. Background in enterprise delivery operations, M&A integrations, and technical delivery.

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