Estel Technologies Raises €270K Pre-Seed to Solve Tech Staffing's Biggest Problem: Fake Job Listings

Tech staffing firms waste enormous time chasing job listings that are already filled, duplicated across boards, or simply outdated. Estel Technologies, a Sofia-based startup, has raised €270,000 in pre-seed funding to solve exactly that problem with an AI-native sales platform built for the tech talent industry.

Funding Round and Investors

The pre-seed round was announced on August 4, 2026, and was led by Vitosha Ventures, a Bulgarian venture capital firm . Kerem Basak, an Austrian angel investor and founder/CEO of FB Consulting, also participated — and notably, Basak was already an Estel user before he invested .

The Founding Team

Estel was founded by three professionals with deep experience across staffing, tech operations, and AI:

• Bogdan Stavrev (CEO) previously served as VP of Digital Products at one of the world's largest staffing organizations.
• Ivo Michorov led Google's global extended workforce program, giving him direct insight into how large tech companies manage contingent talent.
• Yusuf Berki brings 15 years of experience developing AI/ML systems across HR tech, healthcare, and finance .

The Platform: What Makes Estel Different

Estel describes itself as an AI-native sales workspace that consolidates multiple disconnected tools into a single interface for tech staffing firms . Its key differentiator is the Demand Confidence Score (DCS) — a proprietary metric that analyzes daily market signals to verify whether a job posting reflects active, genuine hiring demand versus outdated, duplicated, or otherwise unreliable listings .

Beyond the DCS, the platform also offers:

• Lead scoring — ranks and prioritizes opportunities for individual users based on conversion likelihood .
• Buyer matching — automatically matches verified opportunities with the prospective buyers most likely to convert .

The core insight is that staffing sales teams spend significant time on leads that don't exist anymore. By filtering for genuine demand first, Estel aims to dramatically improve efficiency.

Current Traction and Use of Funds

As of the funding announcement, Estel reported 3 enterprise customers and €24,000 in annual recurring revenue (ARR) . The company plans to use the new capital to strengthen its demand verification, scoring, and matching algorithms while accelerating customer acquisition across key European markets: the UK, the DACH region (Germany, Austria, Switzerland), Poland, and its home market of Bulgaria .

Ambitious Growth Plans

Estel has set aggressive near-term targets. The company aims for a twentyfold increase in ARR by mid-2027, positioning itself for a seed funding round later that year. It also has a planned US market expansion in 2027 .

These are early-stage metrics — 3 customers and €24K ARR — but the team's operator backgrounds and the clarity of the problem they're solving make this a startup worth watching in the HR-tech and staffing-software space.