Every number has a source. Every source has a trail.
Private capital runs on trust. GoodStream is built so every data point in your portfolio can be traced back to the document it came from, the model that extracted it, and the validation that confirmed it. No black boxes. No "trust us." Verify everything.
From document to dashboard - traceable at every step
Most portfolio tools show you a number. We show you where it came from.
Source Document Linking
Every extracted data point links directly to the source document, the specific page, and the exact text passage it was derived from. When your auditor asks 'where did this number come from?' - you click once and show them.
Multi-LLM Consensus Validation
GoodStream doesn't trust any single AI model. Every extraction passes through multiple independent LLMs from different providers. They must agree before data is accepted. When they disagree, the system flags it for human review instead of guessing. This is how we achieve 97% agent accuracy - not by being optimistic, but by being skeptical.
AI Reviewer Confidence Scoring (ARC)
Every extracted value receives an AI Reviewer Confidence score that quantifies how certain the system is about the data. High-confidence values flow through automatically. Low-confidence values route to human review with full context. You always know what the system is sure about and what it wants you to double-check.
Audit-ready from day one - not as an afterthought
GoodStream doesn't bolt on compliance. The audit trail is the architecture.
Immutable History
Every change to every record is preserved in append-only history tables. Who changed what, when, and why - permanently recorded. Records are never hard-deleted. When an auditor wants the full history of a data point, they get it - not a reconstruction.
Blame Fields & Attribution
Every value in the system carries attribution - whether it was extracted by AI, corrected by a human reviewer, or approved via consensus. You can always distinguish between machine output and human judgment. This matters when your LP asks 'who validated this number?'
Strong Security Controls
AES-256-GCM encryption for all stored credentials. SHA-256 hashed API key management. Row-level security enforcing organization isolation on every query. Access logging on every API call. SOC 2 Type II audit in progress.
97% agent accuracy. And a real plan for the other 3%.
Most AI tools hide their error rate. We built a workflow around ours.
We achieve 97% agent accuracy using multi-LLM consensus validation. But the real story is what happens with the other 3%. Low-confidence extractions are automatically flagged and routed to an intuitive human review interface - with the source document, the extracted value, and the confidence score side by side. Your team confirms or corrects in seconds. The correction feeds back into the system. Every edge case makes the agents smarter. This is how accuracy compounds over time instead of plateauing.
Your LPs deserve data they can verify.
See how GoodStream turns document chaos into audit-ready portfolio intelligence.