Discuss a project

Data conversion.
Delivered.

Particle moves your data from the system you are leaving to the one you are going live on. It maps, cleans, loads and reconciles, and asks your team only what a person has to decide.

Discuss your conversion Watch Particle work
FROM
  • SAP ECC
  • Oracle EBS
  • JD Edwards
  • Dynamics
  • Legacy databases
  • Spreadsheets
TO
  • SAP S/4HANA
  • Workday
  • Salesforce
  • Oracle Fusion
  • NetSuite

Examples, not a limit. Tell us your pair.

A supplier conversion, from source data to an accepted load · 60 seconds

Less waiting. Less rework.
More room to deliver.

A rejected load doesn’t come back to your team as a ticket. Particle works it through, so the plan keeps moving.

01
Keep your implementation moving.Reduce the conversion bottlenecks holding up testing and cutover.
02
Give your team time back.Spend less time preparing spreadsheets and troubleshooting rejected loads.
03
Make room for a better go-live.Give your team more time to rehearse, validate and resolve exceptions.
Operator · Customer accounts · Mock 2A rejected load, handled
Load into SalesforceSalesforce rejected 3 accounts.
Salesforce
Read the import reportPayment_Terms__c: NET 45 is not a valid value
Particle
Trace the causeExists in the source, not in Salesforce. Owner: mapping.
Particle
Ask which term to use“Load it as Net 45 days.”
Finance
Correct the mapNET 45 → Net 45 days
Particle
Reload the held rows3 of 3 accounts loaded. Nothing left unexplained.
Done
Your people, only where it counts

Your experts answer questions, not spreadsheets.

Particle asks only what your business knows, in plain words, and keeps everything else moving. You add context. You don’t chase every correction.

Legacy OU 204 has no company code in SAP S/4HANA. Which should it use?
Procurement
Load NET 45 as Net 45 days, or create the term?Finance
Merge Acme Industrial Corp and ACME INDUSTRIAL CORP.?AP lead
Keep suppliers inactive since 2019 out of scope?Procurement
Example run

No surprises at cutover.

Know where every row stands. Anything that didn’t load comes with who fixes it and how.

Customer accounts · Salesforce · LoadReloaded 3 held accounts after Finance chose Net 45 days
Loaded
Supplier master · SAP S/4HANA · CleanMerged 4 duplicate suppliers the tax ID proved were one company
Particle
Worker records · Workday · ProfileTraced 11 workers with no cost center back to the source row that dropped it
Particle
General ledger · NetSuite · SetupHeld 2 accounts until their subsidiary is set up in NetSuite
Waiting
Item master · Oracle Fusion · SourceHanded back 6 rows only the source can fix, for the next mock
Next mock
Implementation partnerMore delivery capacity. Still leading the program.
ParticleOwns the conversion workstream, through every mock to cutover.
ClientLess time preparing and fixing data.

More capacity for the team you already have.

Partners keep leading the program. Clients spend less effort on data. Particle carries the conversion, so go-live holds its date.

Partner with Particle
The commitment behind the software

A team that sees it through with you.

Stand-upDaily
IPCLPT
Mock reviewEvery mock
IPCLPT
Cutover rehearsalBefore go-live
IPCLPT
Alongside your project teamParticle’s engineers join your cadence, beside your partner and your business leads.
Keep suppliers active since 2019
Hold rows waiting on setup
Merge duplicates without asking
Load only approved files
The platform fits your programYour scope and your rules for what loads, set once and applied on every run.
JD Edwards sourceLive
Customer masterBuilding
Bank account checkAgreed
Agreed capabilities, builtA missing source, object or check is agreed up front and built into the platform for you.
Organized around conversion outcomes.What done means is written down per object before the work starts.
Customer accounts loaded into Salesforceby 26 Nov 2026
Every rejected row owned and explainedeach mock
Reasons to trust it

Evaluate it on your terms.

Everything a buyer, an architect or a security reviewer asks is written down. So is what Particle doesn’t do yet.

01Security and deploymentWhere it runs, who can reach your data, and how access is granted and removed.Read more →02Supported capabilitiesWhich sources, targets and objects run today, and which are built on agreement.Read more →03MethodsHow Particle profiles, resolves, maps and decides who owns a rejected row.Read more →04Real evidenceRun records and load reports from real conversions, with nothing smoothed over.Read more →
For your agents. Evaluating with an AI assistant? Point it at the machine-readable versions.
/llms.txt/capabilities.json

Bring your project.

Tell us your sources, target, scope and timing. With your implementation team, we’ll agree what Particle delivers, in writing.

01
SAP ECCSpreadsheets+ Contracts
SourcesThe systems and files the data lives in today.
02
Workday+ Setup status
TargetThe new system, and how far its setup has got.
03
CustomersGeneral ledger+ History
ScopeThe objects to convert and how much history comes along.
04
Mock 1Cutover+ Go-live
TimingMock dates, cutover and go-live.
Discuss your conversionhello@blueparticle.io