Does Certanexa upload financial files to a server?
Certanexa is designed to keep core reconciliation close to the user where the workflow supports it, reducing unnecessary movement of sensitive financial files. Server-backed boundaries still apply for functions such as authentication, collaboration, APIs, enabled AI providers, or other services that require a server, so exact handling depends on the workflow and configuration.
Privacy-first does not mean every Certanexa function is browser-only.
No security or compliance certification is implied unless it has been independently verified.
Certanexa is designed to help finance teams reconcile, investigate, and document sensitive financial workflows with privacy-first processing where possible, controlled collaboration, responsible AI boundaries, and audit-ready review context.
AI explains
Context from transaction data
AI suggests
Next actions for review
AI approves
Finance decisions
AI replaces
Reviewer judgment
Finance judgment stays with the reviewer.
Certanexa is designed around financial workflows where sensitive data, review accountability, and audit context matter.
Process financial files close to the user where possible and reduce unnecessary data movement.
When teams need shared workflows, collaboration should happen with clear context and controlled access.
Avoid collecting or moving data that is not required for the workflow.
AI should explain, summarize, and support review — not replace finance judgment.
Exceptions, notes, match reasons, and decisions should remain visible for audit preparation.
Security practices should evolve with customer requirements, workflow maturity, and enterprise review needs.
Bank statements, ledgers, invoices, vendor histories, customer payments, and audit notes are sensitive. Certanexa is designed to reduce unnecessary data movement and keep processing close to the user where possible.
Reconciliation and investigation workflows should keep financial review close to the user whenever the workflow supports it.
Avoid pushing sensitive files through more systems than required for matching, review, and reporting.
When team workflows require sharing or review, collaboration should be controlled, documented, and purposeful.
Input
Financial files
Processing
Map, clean, match, investigate
Review
Exceptions, notes, decisions
Output
Reports and evidence
Principle
Move only what the workflow requires.
Exact data handling depends on product configuration and enabled collaboration workflows.
Certanexa's privacy architecture is not a policy claim — it's an implementation choice. Here's the technical breakdown of how financial data stays local by design.
Processing Layer Diagram
Your Browser
Session Boundary
Certanexa Services
Your browser processes files in layers 1–2. Layer 3 (Certanexa services) is only engaged for opt-in features like AI investigation, controlled team collaboration, and audit export. You can use the core reconciliation workflow without triggering any layer-3 contact.
Query Engine
Certanexa's reconciliation engine is built on a WebAssembly-compiled analytical query engine that runs fully in-session inside the browser. Matching rules, tolerance logic, and exception scoring execute against your financial files without the data ever reaching a remote processing server. The engine supports columnar aggregation, window functions, and multi-file joins — the same primitives used in server-side data warehouses, now running client-side.
Runtime
WebAssembly (Wasm) — compiled for browser execution
Query model
Analytical SQL with window functions and multi-file joins
Throughput
Designed for 100k–1M row reconciliation workloads
Data location
Files parsed and queried in-session — not transmitted
Session Storage
Parsed financial data is persisted using the browser's own origin-scoped storage subsystem — a capability exposed natively by modern browsers for high-performance local I/O. This allows Certanexa to maintain file state across workflow steps (upload → match → review → export) without uploading your data to a backend storage service. Storage scope is limited to your browser origin and cleared when the session ends or you clear browser storage.
Storage layer
Browser-native origin-scoped file storage API
Scope
Isolated to your browser origin — not accessible cross-origin
Persistence
Session-duration; cleared on browser storage reset
Backend uploads
Not required for file parsing, matching, or review
Rendering Pipeline
The UI rendering layer exchanges data with the query engine using a zero-copy columnar memory format — the same format used in high-performance analytics infrastructure. This eliminates serialization overhead between query results and the data grid, enabling smooth rendering of large reconciliation tables (50k+ rows) without blocking the browser's main thread. The result is a 60fps-class interface regardless of file size.
Memory format
Columnar binary buffers — zero serialization overhead
Rendering model
Virtualized data grid — renders only visible rows
Main thread
Query work offloaded — UI remains responsive during runs
Target framerate
Interactive table rendering validated per browser, dataset, and device
Need a technical security review?
We're happy to walk engineering and security teams through the full architecture, data flow, and opt-in boundaries in a direct conversation.
Certanexa should treat financial files as sensitive by default. The product experience should make it clear what is being reviewed, what is being generated, and what is being exported.
Financial data should be used for reconciliation, investigation, reporting, and user-requested review workflows.
The system should avoid unnecessary movement of raw financial files.
Reports, notes, and exports should be visible and reviewable before use.
Finance users should understand what evidence or summaries are being exported.
PowerBot-generated explanations and notes should be reviewed before becoming final records.
Bank records, vendor data, invoice references, and audit notes should be handled with caution.
| Data type | Example | Why it matters |
|---|---|---|
| Bank records | Deposits, withdrawals, fees | Sensitive financial movement |
| Ledger data | Account entries, journal records | Accounting control |
| Invoice data | Invoice numbers, payment status | Receivable/payable evidence |
| Vendor/customer data | Party names, payment history | Business relationship context |
| Review notes | Exception explanations, decisions | Audit and close evidence |
| Reports | Reconciliation summaries | Internal and external review |
Finance workflows often involve accountants, reviewers, managers, auditors, and founders. Certanexa should support collaboration without turning sensitive financial review into an uncontrolled file-sharing process.
Collaboration capabilities
Collaboration should be enabled intentionally based on team needs. Privacy-first workflows remain a core design priority.
AI can help explain exceptions, summarize risk signals, and draft review notes. It should not approve transactions, replace accountants, or remove professional judgment from reconciliation workflows.
PowerBot can suggest likely reasons and next actions, but finance users decide what is accepted, rejected, escalated, or documented.
AI-generated notes and rule suggestions should be reviewed before becoming part of final reconciliation evidence.
AI outputs should be grounded in transaction context, file data, match signals, and review history.
PowerBot should support careful review language: possible, may indicate, candidate, suggested, needs verification.
Review language to avoid
"This is fraud."
Careful review language
"This transaction may indicate a duplicate payment signal and should be reviewed against invoice references and approval history."
Audit preparation depends on more than matching transactions. Teams need to understand why exceptions were reviewed, what signals were found, and what decisions were made.
What the review trail captures
Benefits for finance teams
Different teams need different levels of access, review, and collaboration. Certanexa should support controlled workflows as the product matures.
Different users may need different responsibilities for preparing, reviewing, approving, or exporting reconciliation evidence.
Exceptions can move through states such as needs review, escalated, resolved, false positive, or exported.
Reports and summaries should be reviewed before being shared outside the workflow.
Clear notes and decisions help teams move from preparation to review to final reporting.
Teams should understand which workflow options, sync behavior, or collaboration settings are enabled.
Larger teams may require SSO, access policies, retention settings, or security review before deployment.
Requirements can be discussed during onboarding.
Finance teams, accounting firms, and enterprise buyers may need deeper review of data handling, access controls, collaboration workflows, retention, AI boundaries, and deployment requirements.
Discuss what data is processed, where workflows happen, and what outputs are created.
Review whether teams need shared workspaces, reviewer roles, or controlled sync.
Clarify how PowerBot assists review and how AI-generated notes should be approved.
Discuss future needs such as SSO, role permissions, or team-level controls.
Define how reports, notes, and review evidence should be handled.
Enterprise security questions can be reviewed during onboarding conversations.
Enterprise security and compliance requirements can be discussed during onboarding conversations. We do not claim certifications before they are verified.
Book a DemoCertanexa should be useful without making unrealistic promises. These are the boundaries we keep visible.
PowerBot supports review, explanation, and documentation. Finance professionals remain responsible for decisions.
Certanexa surfaces possible risk signals and exceptions that deserve review.
Forecasting intelligence provides planning context, not certainty.
Data handling depends on enabled workflows, collaboration settings, and product configuration.
Security and compliance claims should reflect actual status, not marketing hype.
Review language should preserve context, uncertainty, and reviewer responsibility.
Common questions about how Certanexa handles financial data, AI boundaries, and collaboration.
Have a question not covered here?
Contact UsCertanexa is designed around privacy-first reconciliation with explicit boundaries between core reconciliation close to the user and server-backed services such as authentication, collaboration, or enabled AI providers.
Key points
Important boundaries