Tamper-evident audit log
Every action is signed with HMAC-SHA256 and chained to the previous entry. Daily integrity checks catch any tampering. Stream the log to your SIEM as CEF, JSONL, or Syslog (RFC 5424).
Private AI Infrastructure for Australian Financial Services
Deploy AI that processes your documents without data ever leaving your infrastructure. Custom-built for fund managers, financial advisors, and compliance teams.
How BackPro Works
Watch a document flow through our enterprise AI pipeline, from upload to cited answer.
Deploys to:
DDQ AUTOMATION
Complete DDQs in Hours, Not Days
Upload a DDQ and BackPro's 9-stage pipeline extracts every question, matches them against your historical answer database using vector similarity, and auto-fills responses with full source attribution. Your team reviews only the flagged items.
- Vector-matched answers from your historical response database
- Answer database that learns and improves over time
- Layout-aware extraction: tables, paragraphs, and mixed pages
- Full audit trail: source, date, reviewer, and approval status
- Async bulk processing with real-time progress streaming
- Position-aware DOCX export with your branding
3 days → 47 minutes
89% auto-filled · 11% human review
96.7% accuracy · 0.8% hallucination rate
Selector Funds
DOCUMENT SEARCH
Search Years of Documents in Seconds
Ask questions in plain English and BackPro generates a query embedding, searches your entire document library using pgvector cosine similarity, then re-ranks results for precision. Every answer comes with exact page citations so your team can verify instantly.
- Hybrid semantic + multi-modal search via pgvector cosine similarity
- Cross-document relationship mapping: references, supersedes, amends
- JSONB metadata filters with AND/OR/NOT operators and regex support
- Page-level source attribution with inline citations
- Ingests PDF, Word, Excel, images, video, and email
- Confidence scoring with optional re-ranking on every result
KNOWLEDGE CHAT
Your Entire Knowledge Base, Conversational
Chat with your entire document library like you would a senior colleague. RAG mode retrieves relevant chunks and generates grounded answers with inline citations. Agent mode uses tool-calling to perform multi-step research, retrieving, analysing, and cross-referencing across your knowledge base.
- RAG mode: retrieve chunks, inject context, generate grounded answers
- Agent mode: tool-calling loop with multi-step document reasoning
- Inline citations with document ID, chunk number, and similarity score
- Conversation memory: Redis cache with PostgreSQL persistence
- SSE streaming for real-time token-by-token responses
- Full chat history passed to LLM for context-aware follow-ups
COMPLIANCE ENGINE
Compliance Built Into Every Layer
BackPro's compliance engine ingests Australian regulatory sources (APRA, ASIC, OAIC, AUSTRAC), extracts actionable requirements using AI, and runs gap analysis against your existing policies and controls. Every gap is risk-scored, tracked through remediation, and preserved in an immutable audit trail.
- AI-powered gap analysis against APRA, ASIC, OAIC, and AUSTRAC frameworks
- APRA CPS 234 and CPS 230: information security and operational risk
- Evidence tracking with verification workflow and audit packaging
- Risk register with 5×5 likelihood-impact scoring matrix
- Immutable audit trail with hash-chain integrity
- Audit-ready and board-level reports generated on demand
SECURITY ARCHITECTURE
Security by Architecture, Not by Promise
BackPro deploys entirely within your cloud tenant using Infrastructure as Code. Your data never leaves your VPC. Every service runs in private subnets with encryption at rest and in transit. After deployment, BackPro has zero access to your environment.
- Deploys on your Azure, AWS, or GCP tenant with full Terraform IaC
- All data stays in your VPC: private subnets, no public endpoints
- Encryption at rest and in transit across every service
- HMAC-SHA256 tamper-proof audit trail with hash chain integrity
- 7-year audit retention: APRA CPS 234, ASIC RG 271, and Privacy Act ready
- Zero-access architecture. BackPro cannot see your data post-deployment
Auditable by design
Built for regulated finance. Verified by code, not promises.
The four claims below are wired into the platform and exercised on every customer deployment. The framework coverage is real. The certifications in progress are honest about where we are.
Always-on compliance monitoring
Four autonomous agents — Regulatory Watch, Control Monitor, Vendor Risk, and Risk Correlator — run continuously inside your environment. Findings are deduplicated, severity-ranked, and routed to your team.
Hallucination-resistant outputs
Every model response passes through a two-tier semantic gate: entailment validation, then a multi-model judge. Outputs that fail are downgraded, refused, or flagged — never silently delivered.
Stays inside your tenant
Production infrastructure-as-code ships for Azure, AWS, and GCP. Your data, your models, your perimeter. BackPro staff never see customer documents.
Supported today
The Australian regulatory stack
- APRA CPS 234Information Security
- APRA CPS 230Operational Risk Management
- ASIC RG 277Consumer Remediation
- AUSTRAC AML/CTFAnti-Money Laundering
- OAIC Privacy APPsPrivacy Act 1988
- AASB S1 / S2Climate-Related Disclosures
Certifications in progress
Building the evidence trail
- SOC 2 Type IIReadiness underway
- ISO/IEC 27001Readiness underway
We will publish the auditor and target attestation date when the readiness program enters formal audit. Until then we say what is true: the program is underway and the controls are shipping.
FAQ
Product Questions
Technical details about BackPro's AI document automation platform.
DDQ (Due Diligence Questionnaire) automation uses AI to read, interpret, and generate responses to due diligence questionnaires. BackPro matches incoming questions against your approved knowledge base, drafts responses with source attribution, and maintains a full audit trail. This reduces DDQ response time from days to under an hour.
BackPro deploys directly into your AWS, Azure, or GCP environment using production-ready infrastructure templates (Terraform, CloudFormation, or ARM). The entire platform, including AI models, vector databases, and the application layer, runs within your VPC. No data leaves your infrastructure at any point.
BackPro uses a combination of large language models and retrieval-augmented generation (RAG) architecture. The models run locally within your infrastructure. The RAG system grounds every response in your actual documents, preventing hallucination and providing source citations for every output.
Every AI-generated response includes citations pointing to the exact source documents, page numbers, and passages used. This creates a verifiable audit trail that compliance teams can review, meeting regulatory requirements for advice documentation and record-keeping.
Yes. BackPro integrates with common document management systems, SharePoint, network drives, and cloud storage. Documents are ingested, processed, and indexed within your environment. The platform supports PDF, DOCX, XLSX, PPTX, and email formats.
BackPro provides controls and continuous monitoring across APRA CPS 234 (Information Security), APRA CPS 230 (Operational Risk Management), ASIC RG 277 (Consumer Remediation), AUSTRAC AML/CTF obligations, OAIC Privacy Act and the Australian Privacy Principles, and AASB S1/S2 climate-related financial disclosures. SOC 2 Type II and ISO/IEC 27001 readiness programs are underway. Data is encrypted at rest and in transit, role-based access controls and audit logging are on by default, and the platform is built on a zero-trust architecture.
BackPro automates SOA preparation by extracting client data, matching it against approved product lists and compliance rules, and generating draft advice records with full source attribution. Paraplanners review and finalise the output, reducing SOA preparation time by up to 60% while maintaining ASIC compliance standards.
Every audit entry is signed with HMAC-SHA256 and chained to the previous entry, producing an append-only log where any modification breaks the chain. A scheduled integrity verifier runs daily, recomputes the chain, and identifies the first invalid entry on detection. Audit records export to your SIEM in CEF, JSON Lines, or Syslog (RFC 5424). The HMAC key is configured at deployment time and held in your secret manager — BackPro staff never see it.
Every model response passes through a two-tier semantic gate before reaching the user. The first tier validates entailment of the response against the retrieved source material using a small fast classifier. The second tier is a multi-model judge that scores the response against your tenant policy. Outputs that fail either tier are downgraded, refused, or flagged according to your configuration — they are never silently delivered.
Ready to See It Live?
Schedule a 30-minute call. We'll walk through your specific document challenges.
Already live within multiple financial firms
Deploys into your environment in under 24 hours
100% on-premise, zero data egress