Inside Gofai

What Gofai catches, how it reports it, and how your team resolves it — in the exact screens your team uses day to day.

Explore Product Flow

Model Refinement screen

Live Overview

Screenshot will be provided

Error Report screen

Detailed Traceback

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Use Gofai if...

Gofai is built for teams that need to know when their data is actually trustworthy — not just when it looks valid.

Data Studio / Record Audit

Semantic Violation

Every field parsed correctly — the row still passed a broken date and a negative charge straight through.

Incoming Row #4,019

Source: legacy_db_dump.csv

Syntax Parsed

email

"user@domain.com"

amount

"-$4,500.00"

Structural Check

Schema & format valid

Semantic Integrity

2 hidden errors caught

In-Product Walkthrough

A visual walkthrough of the real product flow — scroll down to explore step by step.

01

Report Card & Summary

Not Started

This is the Report Card — your inbox for data quality. The cleansing status badge shows whether correction has started. Issues are flagged with Violation and Anomaly tags.

Review and resolve issues to generate cleansed files

2 violations require correction before export.

Issue types

2

Total violations

2

Rows affected

2 / 66

Ready to start correction?

Open Data Studio to review violations and apply corrections.

Open Data Studio

Report Details

Source MonitorBank Statement Monitor

Source Filebank-stmt-demo-errors.csv

Monitored OnJanuary 11, 2026

Total Rows66

Life Cycle

Detected• Correct• Output

02

How Did This Report Get Here?

Trained

How did this report get here? A trained model ran against this file. Activity rings show column quality: the outer ring (teal) represents format accuracy, and the inner ring (amber) represents meaning accuracy.

MyModel-iLRB3

Source: bank-stmt-demo.csv

Created Jan 10, 2026

Column Activity Scores

Date

Trained

Description

Needs training

Amount

Needs training

Balance

Trained

Training Process

1. Upload

2. Process

3. Prompts

4. Created

Activity Ring States

Outer Ring (Teal):Format accuracy

Inner Ring (Amber):Meaning accuracy

Sparkles / Dot:AI or Human converged

03

Data Studio: Review & Correct

In Progress

Data Studio displays each violation with AI suggestions. Accept or reject suggestions, or type manual corrections. Cells turn green once resolved.

Current violation

US currency format

Affected cells

1 remaining

Rows fully valid

2 / 3

Changes tracked

1 AI accepted

Date	Description	Amount	Balance	Status
08/04/2023	AJAX CLEAN DATA DES:Payroll...	5,000.00	9,410.30	Valid
13/45/2023	CHASE CREDIT CRD...	-2,000.00	7,166.21	Invalid
08/28/2023	MB AUTO FINANCE DES:Loan PMT	-469.36	3,850.27	Valid

Cell Details

Violation

Column

Date

Current

13/45/2023

AI Suggestion

"08/05/2023"

Month and day values out of range. High confidence.

04

Generate & Download Clean File

Ready to Download

When corrections are done, generate the cleansed output file. Status moves to Output Ready. Your original file is never modified.

Download Settings

Ready

Cleansed output file

cleansed_output.csv

Include audit trail (cleansed_output_audit.json)

Built for Pipelines Where Getting It Wrong Isn't an Option

No-Code Model Confirmation

Subject matter experts confirm what the model learns — no scripts, no engineering tickets.

Deterministic, Not Generative

Validation enforces what the model learned — same input, same result, every time.

Automated Remediation (Optional)

Where you allow changes, Gofai proposes fixes for subject matter expert approval. Everywhere else, it stays detection-only and routes flags to your team.

Runs Inside Your Environment

Gofai runs inside your environment — cloud VPC or on-prem. Sensitive data never leaves your perimeter.

Containerized deployment—runs anywhere
No raw data sent to external control planes
Integrates with your existing governance and identity systems

Ready to See It?

Walk away with a working validation system, not a demo.

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