You will get Autonomous Financial Data Extraction & Auditing System
Rising Talent
Project details
I specialize in designing autonomous, multi-agent systems that execute complex data extraction and financial audits with mathematical precision.My work is built on the Psiquis-X Sovereign Engine, a private multi-agent framework utilizing an adversarial "Courtroom Architecture". This system employs Skeptic and Judge agents to evaluate every output against strict Pydantic schemas. If a financial metric cannot be mathematically verified and cross-referenced to its source, the system rejects it.Recent operational impact delivered:Built an autonomous auditor that processed 3 years of NVIDIA financial reports, extracting metrics and generating an Excel dashboard in 290 seconds for $0.035 USD.Developed asynchronous ETL pipelines using Playwright and Scrapy to ensure zero-hallucination data lineage and anti-bot evasion.Implemented a semantic routing layer (Cortex Router) that optimizes model dispatching, reducing API costs by 40-60%.I provide the infrastructure to eliminate manual analytical labor and ensure verifiable, high-throughput data processing. I build deterministic AI infrastructure for quantitative finance and enterprise workflows if you wanna someting similar lets talk.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Pages Mined/Scraped | 100 | 1000 | 5000 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Bruno
AI Solutions Architect | Systems for Finance & Bussines automation
Mexico City, Mexico - 8:00 am local time
If you are looking for basic API wrappers or simple chatbots, we are not a good fit. I specialize in designing autonomous, multi-agent systems that execute complex B2B tasks, financial audits, and algorithmic trading logic with mathematical precision.
My work is built on private multi-agent frameworks using LangGraph. These systems process heavy unstructured data and route decisions autonomously, while maintaining strict human governance over risk parameters. The goal is simple: eliminate AI hallucinations and guarantee verifiable, strictly structured outputs that businesses can trust.
Recent operational impact I have delivered for clients:
Built an autonomous financial auditor that ingested 3 years of complex institutional reports, extracted metrics, and generated a variance dashboard in under 5 minutes for less than $0.05 in API costs.
Redesigned legacy execution frameworks using asynchronous programming to reduce High-Frequency Trading (HFT) network latency by over 80%.
Architected automated DevOps pipelines that dynamically generate production-ready code repositories and enterprise RFP drafts in seconds.
My core services focus on high-throughput data pipelines, private multi-agent orchestration, and algorithmic execution engines. I build robust backend architectures that slash operational hours and drastically reduce LLM API costs.
If your goal is to replace manual operational bottlenecks with scalable, error-free AI infrastructure, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Bruno can start the project.
Delivery time starts when Bruno receives requirements from you.
Bruno works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Schema Design
I analyze your specific document structure to define the strict Pydantic schemas and adversarial validation logic required for the agents.
Multi-Agent Pipeline Engineering
Engineering the autonomous extraction engine, including semantic routing and chunking to process dense financial data without context loss.