Talonic Tech Stack

Converts unstructured documents into clean, ready-to-use datasets via AI

Software Development Berlin 11–50 employees Founded 2023 Privately Held

Talonic automates the extraction and structuring of data from PDFs, spreadsheets, and other unstructured sources using Python, Pandas, FastAPI, and Claude. The stack and project list reveal a data-heavy backend focused on multi-step pipelines (document ingestion → schema mapping → dataset export), with current friction around platform stability and operational scaling — typical of early-stage data infrastructure plays moving from bespoke integrations toward a generalized, repeatable platform.

Tech Stack 16 technologies

Core StackPython Pandas FastAPI AWS Node.js Express MongoDB Salesforce Cursor Vercel SAP Ivalua MEAN Claude Replit Windsurf

What Talonic Is Building

◆Challenges

Unstructured documents
Stabilizing platform behavior
Slow coordination and handoffs
Operational pain
Reducing ad-hoc fixes
Reduce founder arbitration
Scaling processing backbone
Industrializing integrations
Ensuring data reliability

▲Active Projects

Product surface end-to-end
Data-heavy backend systems and apis
Pilot engagements
Phased engagements
Backend platform behavior stabilization
Dataset assembly and export
Python services for data handling
Ai-assisted data consolidation across heterogeneous sources
Schema-driven mapping and normalization workflows
Multi-step structuring pipelines (documents → dataset → export)

Hiring Activity

Accelerating7 roles · 5 in 30d

Department

Engineering

Sales

Data

Product

Seniority

Senior

Mid

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About Talonic

Talonic is a Berlin-based startup (founded 2023) that transforms unstructured data—PDFs, Excel files, and similar documents—into structured datasets ready for analytics and AI workflows. The company targets mid-market teams drowning in manual data prep: finance, procurement, and operations roles who spend hours copying, cleaning, and normalizing data across systems. Talonic runs a Python + FastAPI backend on AWS with MongoDB storage, layering Claude for AI-assisted consolidation and schema-driven normalization. Current workstreams center on hardening the backend platform, scaling ingest throughput, and moving from pilot engagements toward repeatable, phased customer deployments.

HeadquartersBerlin

Company Size11–50 employees

Founded2023

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does Talonic use?

Python, Pandas, FastAPI, AWS, MongoDB, Node.js, Express, Claude, Cursor, and Vercel. SAP and Salesforce integrations are also in the stack for enterprise data workflows.

What is Talonic working on?

Multi-step data pipelines that ingest unstructured documents, apply AI-assisted consolidation and schema-driven mapping, then export clean datasets. Current focus: stabilizing platform behavior, scaling the processing backbone, and industrializing integrations across heterogeneous data sources.