AI Data Clarity

A simple and cost-effective way to transform any text into predictable structured data. Every single time.

Transparent PAYG pricing

$1/ 100K tokens

  • No monthly fees
  • Pay only for what you use
  • $10 free credits included

What’s included?

  • Structured output guaranteed
  • Unlimited data streams
  • Webhook & Email Data Ingestion
  • Pre/post data processing

    • coming soon

  • Vision and OCR support

    • coming soon

No credit card required.

What is it?

Edgebrix is a super simple way to generate structured data. All you have to do is:

  • Define the structure you’d like to output as a JSON schema

  • Start sending data - That’s it! The output is *guaranteed* to be in the same format you defined

All the benefits of large language models with added reliability and predictable outputs.

Finance

Easily parse and review invoices, bank statements, expenses or any other text coming from your financial institutions

  • Your credit card ending in 1234 was charged $500 on February 5th, 2024, for a recent purchase with Amazon.
  • 1{
2  "amount": 500,
3  "vendor": "Amazon",
4  "purchase_date": "2024-02-05",
5  "credit_card": "1234"
6}

Product feedback

Analyse surveys, CSAT, NPS to extract crucial insights from your customers

  • I'm thrilled with the SkyHigh Cloud Accounting Suite; it's a standout in the billing software category. Automated invoicing and real-time financial reporting simplify financial management, making it a breeze for small businesses. More customizations in reporting features would make it unbeatable.
  • 1{
2  "sentiment": "positive",
3  "features": [
4    "Automated invoicing",
5    "Real-time financial reporting"
6  ],
7  "improvements": [
8    "More customizations in reporting features"
9  ]
10}

Dev assistant

Quickly triage and fix issues

  • Traceback (most recent call last): File "main.py", line 24, in main() File "main.py", line 20, in main process_data(data) File "main.py", line 15, in process_data update_record(record) File "main.py", line 10, in update_record print(f"Updating record for user: {record['username']}") KeyError: "'username'"

  • 1{
2  "error_type": "KeyError",
3  "possible_fix": "Check if the 'username' key exists in the 'record' dictionary"
4}

But we already use OpenAI

Right, and it’s hard to get OpenAI (and LLMs in general) to consistently output an answer as a structured text, so complex validations, custom prompting, and massaging the output (removing the ghastly ```json, for example ) are often required.

Frequently asked questions

Edgebrix provides a reliable way to get structured data and extract meaning from your raw data. Each data stream can ingest any text input and guarantees an output in a defined schema. You can have unlimited data streams to support all your data transformation use-cases.