Manual interpretation
Work begins outside the software.
Emails, PDFs, spreadsheets, and scans must be read and reconciled by hand before any system can act.
Systems of record only store data after the work is already understood.
Enterprise data operations, simplified
Turn messy enterprise data into trusted operational transactions.
7
Vertical markets running one reusable data-to-transaction pattern.
175
Prioritized use cases, from RFQs and claims to KYC and warranty.
1 STU
= 1,800 characters of processed work. Pay for output, not seats.
1 workflow
Start with a single workflow, then expand by transaction volume.
The problem
Most enterprise work begins outside the software.
Teams receive evidence, requests, and obligations through emails, documents, spreadsheets, and portals. Before any system can act, people have to interpret and reconcile it - by hand.
Checks & calculations
Rates, invoices, claims, and KYC files need logic.
Every transaction carries checks and calculations - and getting them wrong means margin leakage and compliance risk.
Generic AI reads content but doesn't reliably complete governed tasks.
Fragmented systems
Teams copy data between a dozen tools.
Inboxes, portals, TMS, ERP, CRM, policy, and finance systems each hold a piece - and none of them agree.
Traditional workflow tools need clean inputs and predefined paths.
How it works
From raw evidence to governed transaction.
One consistent five-stage sequence runs under every workflow and every vertical - so the operating model stays the same as you scale.
NODE 01
Ingest
Capture the full work package - emails, PDFs, Excel, images, APIs, EDI, and system records.
NODE 02
Normalize
Clean, validate, enrich, and standardize the data into a trusted operational state.
NODE 03
Calculate
Apply deterministic pricing, risk, margin, eligibility, variance, ETA, or policy logic.
NODE 04
Automate
Route tasks, generate outputs, trigger approvals, and write back to systems.
NODE 05
Govern
Track evidence, confidence, permissions, approvals, logic versions, overrides, and audit trails.
Data Savings Estimate
See where operational data is costing you.
Two minutes to model the hidden cost of manual work. Then start with a limited, read-only review of your real data - and we'll recommend the first workflow to automate.
4,000
8 min
$45
Automation potential
Illustrative model. Your full estimate is built from a read-only review of real documents, emails, missing fields, calculations, exceptions, and system updates.
Estimated annual savings
$230,400
on this single workflow, before expanding to adjacent teams
Hours reclaimed / year5,120 hrs
Cost per document$6.00 → $1.20
Processing volume12,000 STU / mo
The platform
Five modules. One operating model.
Each module maps to a business role - so operators, managers, legal, IT, and vertical buyers all see the part of the platform that matters to them.
Operators
Stargo Intake
Capture and understand emails, documents, spreadsheets, scans, APIs, EDI feeds, and system records.
Operators
Stargo Transactions
Convert data into quotes, checks, reconciliations, claims, permits, cases, and system actions.
Managers
Stargo View
Monitor data quality, cycle time, exceptions, throughput, STU consumption, and business impact.
Legal & IT
Stargo Govern
Manage permissions, thresholds, approvals, evidence, logic versions, audit trails, and compliance requirements.
Vertical buyers
Vertical Packs
Deploy reusable workflow logic for freight, logistics, insurance, fintech, government, and more.
See the platform in action
Walk through Intake to Govern on your own work data.
Get a Data Savings EstimateSeven verticals
One engine. Specific to your industry.
Each vertical feels purpose-built - but the platform stays unified. Pick yours to see the starting workflows and the business value they move.
Freight
Freight work combines unstructured requests, operational documents, rates, rules, and exceptions - a natural fit for the data-to-transaction model.
Starting workflows
RFQsRate sheetsQuotesBookingsInvoicesExceptions
Business value
- Quote turnaroundFaster quote-to-book cycle time
- Win rateMore quotes per operator
- Margin protectionBuy vs. sell rate checks before finalizing
- Invoice accuracyFewer mismatches and reworks
Pricing
Pay for trusted work, not seats.
Stargo charges for processed operational work through Stargo Transaction Units - one STU = 1,800 characters of AI-enabled processing or equivalent action. Start with one workflow; scale by volume.
Starter
One workflow
A single high-value use case with included STUs and implementation support.
Get a Data Savings EstimateMost adopted
Growth
Multiple workflows
Larger STU bundles, dashboards, integrations, and overage pricing as you scale.
Talk to salesEnterprise
Org-wide
Annual commitments, governance, security, advanced integrations, vertical packs, and dedicated success.
Talk to salesStrategic partner
Embedded engine
Multi-country rollout, white-label, or revenue-share options on the transaction engine.
Explore partnershipTrust
Enterprise-grade, by design.
Adopt with low risk: start read-only, keep your systems, and approve before anything acts - with evidence behind every decision.
Start read-only
Begin with limited access, sample files, or exports before deeper integration.
Keep your systems
Complements TMS, ERP, CRM, WMS, policy, finance, and government systems.
Approve before action
Use human-in-the-loop controls, confidence thresholds, and exception routing.
Prove every result
Retain evidence, source authority, calculations, decisions, and write-backs.
Govern across teams
Manage roles, permissions, data boundaries, workflow logic, and compliance requirements.
Built for operations teams across seven verticals
Northwind FreightMeridian InsuranceAtlas SupplyVantage PayCivic Works
Placeholder - to be replaced with approved customer logos before publishing.
[ Customer logo ]
“Reconciliation that took three hours is now done in sixty seconds - with a full audit trail behind every line.”
[Placeholder testimonial] - Head of Operations, enterprise logistics
Illustrative - approved customer evidence required before publishing.
FAQ
Questions, answered.
Stargo converts unstructured and semi-structured operational data into trusted business transactions: validated data, calculations, workflow actions, approvals, write-backs, and audit trails.