Apex Forge Technology builds high-accuracy, task-focused developer bots. Run production-grade extraction with OCR-Doc-Parser, ReDoS-safe validation with Regex-Gen-Tester, and schema-verified analysis with English-to-SQL.
Product Suite
Each bot solves one concrete technical task with verifiable outputs and execution safeguards on Poe.
Extracts visible data from paper receipts, tax invoices, and bank statements into structured JSON with per-field confidence flags and automated arithmetic tax reconciliation.
Generates regular expressions from plain English, executes them live against test strings inside an edge isolate, and flags catastrophic backtracking (ReDoS) vulnerability patterns.
Transforms natural English questions into schema-grounded SQL, runs them in an in-memory SQLite sandbox, self-heals syntax errors, and provides formatted tabular previews.
Interactive Preview
Click between tools to inspect realistic inputs and verified production outputs.
{
"vendor": "Apex Cloud Systems Ltd.",
"invoice_number": "INV-2026-8819",
"date": "2026-09-04",
"currency": "USD",
"subtotal": 180.00,
"tax_total": 18.00,
"grand_total": 198.00,
"reconciliation": {
"computed_total": 198.00,
"delta": 0.00,
"status": "ARITHMETIC_VERIFIED"
},
"field_confidence": {
"vendor": 0.99,
"grand_total": 1.0,
"tax_id": 0.96
}
}
^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,63}$
✓ test@corp.apexforge.tech -> MATCH (0.02ms) ✗ invalid..format@com -> REJECTED (0.01ms) ✗ user@domain -> REJECTED (0.01ms) === ReDoS Safety Assessment === • Catastrophic Backtracking: PASSED (O(n) linear) • Nested Quantifiers: NONE • Engine Compatibility: V8, Python re, PCRE
SELECT vendor, ROUND(SUM(amount), 2) AS total_spend FROM expenses WHERE date BETWEEN '2026-07-01' AND '2026-09-30' GROUP BY vendor HAVING total_spend > 500.00 ORDER BY total_spend DESC; | vendor | total_spend | |---------------------|-------------| | Apex Cloud Systems | $1,420.50 | | FastFiber Transit | $780.00 |
End-to-End Workflow
Connect individual tools into a seamless document-to-insight pipeline without manual transcription.
Upload a receipt or invoice photo to OCR-Doc-Parser. The vision engine checks for blur, deskews tilted photos, extracts line items, and reconciles subtotals with tax.
Validate extracted tax identifiers or invoice codes using Regex-Gen-Tester. Test your validation pattern against real samples with safe execution guarantees.
Paste your expense table schema into English-to-SQL. Ask questions in natural English to aggregate monthly totals, compare vendors, and inspect result tables directly in chat.
Proof Over Predictions
Generic chatbots guess answers. Apex Forge Tools verify output through execution and explicit confidence scoring.
Every extracted vendor, date, and monetary amount includes confidence metrics. If lighting is uneven or numbers are ambiguous, the tool flags them for review rather than guessing.
The parser automatically calculates whether subtotal + tax = grand total. Invoices with calculation mismatches are flagged immediately to prevent accounting errors.
Patterns are compiled and executed against your positive and negative samples inside a secure V8 isolate, displaying capture groups, microsecond timing, and ReDoS safety analysis.
SQL queries are verified by seeding a temporary SQLite WebAssembly database with your schema, executing the query, and auto-correcting syntax errors before streaming results.
Queries containing DROP, DELETE, or UPDATE statements without restrictive WHERE clauses trigger immediate safety warnings.
Ephemeral processing architecture: user documents and database schemas exist strictly in temporary memory during the conversation turn and are never stored.