How it works

Two phases. One foundation.

Every engagement starts with the map and builds from there. Phase 1 is required — you can't fix what you can't see. Phase 2 is scoped based on what the map reveals.

PHASE 1 — REQUIRED

Build the map.

A complete semantic map of your data landscape — every system, every entity, every conflict, every connection.

Standalone deliverable — valuable on its own

We audit your entire data landscape. Every SaaS tool. Every database. Every spreadsheet someone built three years ago that's now load-bearing infrastructure. We document not just what exists, but how your systems define fundamental business concepts differently.

The output isn't a slide deck you'll file away. It's a structured, living model of your business's data reality — the foundation everything else builds on. You can use it with us, with another vendor, or on your own.

What you get

Complete system inventory across your entire tool stack
Entity map — how "customer," "order," and "product" differ across systems
Conflict catalog — every semantic divergence, typed and severity-scored
Relationship graph showing how data actually flows through your org
Prioritized recommendations — what to fix first and why
Entity
System A
System B
Severity
customer.status
"Active" (CRM)
"Open" (Billing)
Critical
order.total
pre-tax (Shop)
post-tax (ERP)
High
employee.type
"Full-time" (HR)
"W2" (Payroll)
Medium
product.sku
SKU-001 (Inventory)
SKU-001 (Store)
Match
↑ SAMPLE OUTPUT FROM A REAL ENGAGEMENT
PHASE 2 — RECOMMENDED

Put it to work.

We resolve the conflicts the map revealed and build the automations, integrations, and AI foundation your business needs.

Scoped from Phase 1 findings

Phase 2 is where the map becomes operational. Based on the conflicts and priorities identified in Phase 1, we design and deploy production solutions — automations that resolve semantic conflicts at the source, integrations grounded in data truth, and an AI-ready foundation.

The scope is determined by what Phase 1 reveals. Every business has different priorities — some need integration repair first, others need AI activation. We don't prescribe a package. We build what the map tells us you need.

What this could include

Production automations with documented transformation logic
Entity resolution — matching records across systems with confidence scoring
Conflict resolution rules codified and automated
AI-ready structured data layer for agent consumption
Working proof-of-concept AI workflow across your real systems
Monitoring and alerting so you know when something drifts
ai-agent-after-solaris.ts
// Before Solaris: agent fails
agent.ask("Which customers churned last quarter?")
// → Error: Conflicting definitions of
// "customer" across 4 systems
// After Solaris: agent reasons
agent.ask("Which customers churned last quarter?")
// → "12 customers churned in Q4.
// Sourced from CRM, Billing, and Support.
// Top reason: pricing (7 of 12)."
confidence: 0.96 // semantic layer resolved
Under the hood

Our five-phase methodology.

For those who want to understand the craft behind the outcomes. Every engagement follows this process — each phase builds on the last.

01

System census

Inventory every tool, database, and data flow. No assumptions.

02

Entity mapping

Identify core entities and how each system represents them differently.

03

Flow mapping

Trace data movement and find where meaning breaks down.

04

Build & validate

Deploy automations that prove the semantic model works.

05

Extract & catalog

Capture patterns into a living, cross-client knowledge base.

The difference

Human in the trenches, not just human in the loop.

Software platforms can connect APIs and infer schemas. They can't call Sarah in accounting to ask which customer list is the real one.

SOFTWARE-ONLY APPROACH
Connects APIs, reads schemas
Infers entity types from field names
Misses spreadsheets and tribal knowledge
Can't detect undocumented processes
Assumes connectors exist for every tool
SOLARIS APPROACH
Walks your workflows with your team
Interviews the people who actually use the tools
Discovers the spreadsheets holding your business together
Maps the undocumented processes no API can see
Builds on real understanding, not inferred assumptions
Data trust

Your data never leaves your sight.

We profile your data to understand its structure and conflicts. We never store your actual records. Here's exactly what happens at every step.

01

Reading schema

We access field names and types. Not your records.

02

Profiling data

Statistical analysis: distributions, nulls, patterns. Anonymized.

03

Extracting metadata

Semantic patterns captured. No PII retained.

04

Raw data purged

Deletion confirmed. Receipt issued. You verify.

Start with the map.

Every engagement begins with a conversation. Tell us about your systems, your pain points, and what you're trying to build — we'll show you what the map reveals.

Get Started