Unified Analytics

Transform fragmented data into a single source of truth for reliable, compliant analytics.

Free Readiness Assessment
Anything illustration

A New Age of BI

When different teams define the same KPI in different ways,
decisions slow down and trust erodes. We implement
governed metrics infrastructure that:

Plug into your AI

Interact with your data directly via natural language to produce unique insights that would otherwise be missed

Which support issues are costing us the most revenue?
Sofia G.
The three most costly support issues are 1. Access Difficulties, $10.4m in churned MRR...
Ready to hear more?
Claude

Use a single source of truth

Aligns dashboards, marketing reports, and AI workflows on consistent definitions

127.0.0.1:8000

Cohesion Labs

Stay audit ready

Keeps your metrics auditable and version-controlled for HIPAA, SOC 2, SOX, and other compliance needs

audit-logger.ts

audit.config.json

export type AuditEvent = {
  userId: string;
  action: string;
  details?: Record<string, unknown>;
  timestamp: Date;
};

export function logAuditEvent(userId: string, action: string, details: Record<string, unknown> = {}) : AuditEvent {
  const event: AuditEvent = {
    timestamp: new Date(),
    userId,
    action,
    details,
  };

  console.log("AUDIT_LOG:", event);
  return event;
}

// ✅ Example usage
logAuditEvent("user-123", "LOGIN_SUCCESS", { ip: "127.0.0.1" })
{
  "retentionDays": 90,
  "storage": "encrypted-database",
  "alerts": ["suspicious_login", "data_export"],
  "compliance": "ISO27001"
}

Require less work

Reduces SQL written by up to 70% with AI-assisted, human-governed Malloy models

Cohesion Labs

Is this you?

D

Data confusion

You have multiple teams writing slightly different SQL to answer the same question​.

R

Restricted by tools

You’ve outgrown Looker and need auditability, extensibility, and developer trust

M

Messy KPI definitions

Your metric definitions live in Notion, Looker, or someone’s head​

N

No single source of truth

Dashboards, AI agents, and analysts aren’t aligned on the same truth​.

D

Data confusion

You have multiple teams writing slightly different SQL to answer the same question​.

R

Restricted by tools

You’ve outgrown Looker and need auditability, extensibility, and developer trust

M

Messy KPI definitions

Your metric definitions live in Notion, Looker, or someone’s head​

N

No single source of truth

Dashboards, AI agents, and analysts aren’t aligned on the same truth​.

D

Data confusion

You have multiple teams writing slightly different SQL to answer the same question​.

R

Restricted by tools

You’ve outgrown Looker and need auditability, extensibility, and developer trust

M

Messy KPI definitions

Your metric definitions live in Notion, Looker, or someone’s head​

N

No single source of truth

Dashboards, AI agents, and analysts aren’t aligned on the same truth​.

D

Data confusion

You have multiple teams writing slightly different SQL to answer the same question​.

R

Restricted by tools

You’ve outgrown Looker and need auditability, extensibility, and developer trust

M

Messy KPI definitions

Your metric definitions live in Notion, Looker, or someone’s head​

N

No single source of truth

Dashboards, AI agents, and analysts aren’t aligned on the same truth​.

Who we work with:

Luke
Data & Analytics Teams

Who are outgrowing Looker or Power BI​.

Luke
AI/ML Platform Teams

Who are building LLM-powered analytics workflow​.​

Luke
Healthtech, Fintech, & SaaS

Who are aligning reporting and governance.

Luke
Growth-stage startups

Who are modernizing their semantic and dbt layers​.​

Why Cohesion Labs?

Specialists in complex data modeling and metric governance

Speed

Trusted Partner

Trusted MS2 implementation
partner
Speed

Expertise

Deep AI systems experience from a global team
Speed

Production Ready

Built for scale with monitoring and reliability from day one

Ready to build with us?