Build a Custom Financial Model for Your SMB
Syntora builds custom AI financial models for small and medium-sized businesses. We connect live bank and payment data to generate automated financial reports and forecasts.
Key Takeaways
- Syntora specializes in building custom financial models for small and medium-sized businesses.
- The system connects live data from Plaid and Stripe to a custom ledger for automated reporting.
- This approach delivers real-time forecasting and tax estimates without manual spreadsheet work.
- The system Syntora built processes bank transaction syncs in under 3 seconds.
Syntora built a custom financial automation system for an SMB that connects Plaid and Stripe to a PostgreSQL ledger. The system provides real-time balance tracking and automated quarterly tax estimates. This automated process completes bank syncs in under 3 seconds, replacing hours of manual spreadsheet work.
We built a system that syncs Plaid and Stripe data to a PostgreSQL ledger, automating transaction categorization and quarterly tax estimates. The scope for a similar project depends on the number of data sources, the complexity of your chart of accounts, and specific reporting needs.
The Problem
Why Do Finance Teams Struggle with SMB Financial Forecasting?
Most SMBs run their financial models in Excel or Google Sheets. This requires a finance lead to spend 10-15 hours every month manually exporting CSVs from Stripe, Plaid, and accounting software. The process of copying and pasting this data into a master spreadsheet is slow and prone to errors. A single broken formula can corrupt an entire forecast, and there is zero real-time visibility into cash flow.
Off-the-shelf accounting software like QuickBooks or Xero is excellent for historical bookkeeping but falls short on predictive modeling. Their forecasting modules are rule-based and cannot incorporate data from outside the ledger, such as a sales pipeline from your CRM. They cannot answer forward-looking questions like, "What is our cash position in 6 months if our Q3 close rate drops by 10%?"
Dedicated FP&A platforms like Datarails or Cube are built for larger companies with dedicated finance teams. They carry minimum monthly costs often exceeding $500 and require lengthy implementation. For a 25-person company, these tools are cost-prohibitive and overly complex. Their standard data connectors cannot handle the unique business logic that defines an SMB's financial reality.
The structural issue is that accounting tools look backward, and enterprise FP&A tools are too rigid for an SMB. Spreadsheets are flexible but manual, fragile, and always out of date. This leaves a gap for businesses that need live, forward-looking financial intelligence but do not have an enterprise budget.
Our Approach
How Syntora Builds an Automated Financial Reporting System
The engagement starts with a data audit. Syntora connects to your Plaid, Stripe, and other financial APIs with read-only access to map your data schemas and current chart of accounts. This audit identifies data quality issues and confirms the logic required for your specific reports. You receive a technical specification that outlines the entire data pipeline and modeling approach for your approval before any code is written.
Syntora previously built a financial integration system using Express.js on DigitalOcean. For your project, the approach would use a Python and FastAPI service hosted on AWS Lambda for efficiency, pulling data from your sources every 15 minutes. This data feeds a Supabase PostgreSQL database that acts as a real-time, auditable ledger. We use Pydantic for strict data validation, ensuring that data inconsistencies from source APIs are caught before they affect your financial records.
The delivered system is a secure API that can feed a live dashboard in a tool like Metabase or a simple web application hosted on Vercel. You get an immediate view of cash flow, P&L, and other key metrics. The system can run 'what-if' scenarios, allowing you to change a variable like 'projected_customer_growth' from 5% to 8% and see the impact on a 12-month forecast instantly. You receive all source code, documentation, and hosting costs are typically under $50 per month.
| Manual Spreadsheet Forecasting | Syntora's Automated Model |
|---|---|
| Time to Update Forecast | 10-15 hours per month |
| Data Latency | Up to 30 days old |
| Error Rate | High risk of formula errors |
| Scenario Planning | Requires hours to rebuild model |
Why It Matters
Key Benefits
One Engineer, No Handoffs
The founder on your discovery call is the engineer who builds your system. No project managers, no miscommunication, no gaps between scoping and coding.
You Own All Code and Infrastructure
You receive the complete source code in your GitHub repository. The system runs on your cloud account, so there is no vendor lock-in.
Realistic 4-Week Timeline
A standard financial automation system connecting 2-3 data sources is scoped, built, and deployed in approximately four weeks.
Defined Post-Launch Support
An optional monthly retainer covers system monitoring, API maintenance, and feature adjustments. You have a direct line to the engineer who built the system.
Deep Financial Workflow Experience
Syntora's direct experience building systems with Plaid, Stripe, and custom ledgers means we understand the specific data challenges of SMB finance.
How We Deliver
The Process
Discovery and Data Audit
A 45-minute call to map your financial stack and reporting goals. You receive a scope document outlining data sources, key reports, and a fixed project price within 48 hours.
Architecture and Approval
You grant read-only API access to your data sources. Syntora designs the data pipeline and ledger schema. You approve the complete technical architecture before the build begins.
Build and Weekly Demos
The system is built with weekly check-ins where you see a live demo of progress. Your feedback directly shapes the dashboards and final report formats.
Handoff and Documentation
You receive the full source code, a runbook for maintenance, and API documentation. Syntora provides 4 weeks of direct post-launch support to ensure stability.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
Syntora
Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
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Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
Syntora
You own everything we build. The systems, the data, all of it. No lock-in
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