Alcor — Recruitment & EOR for Tech

## Alcor: RPO and Employer of Record for Tech Companies Building Global Engineering Teams

Alcor is a specialized recruitment and Employer of Record (EOR) firm focused exclusively on tech hiring, operating across Eastern Europe and Latin America. Based on their published market data, they cover eight countries: Ukraine, Poland, Romania, Bulgaria, Colombia, Mexico, Argentina, and Chile. Their pitch is direct and worth unpacking for any US or Western buyer considering global engineering expansion: this is not staff augmentation, not outsourcing, and not a generic EOR platform. Alcor positions itself as a full-system builder for companies that want an internal engineering team, built fast, in lower-cost markets.

That positioning is specific enough to evaluate honestly. Here is what they actually do and what a buyer needs to think through.

### What Alcor Does

Alcor offers three core services: Software R&D Center setup, IT Recruitment, and Employer of Record. The combination is what makes their model distinct from either a pure EOR platform or a traditional staffing agency.

The R&D Center service is the flagship. Alcor targets companies that need to go from zero to 30 engineers in roughly 90 days, with those engineers operating as a true internal team, not a vendor layer. The EOR handles the legal employment infrastructure so that engineers in, say, Kyiv or Warsaw are on compliant local contracts without requiring the client to set up a local legal entity. The recruitment engine identifies and vets the actual candidates.

On recruitment, their published data shows hiring completion in two to six weeks per role across Eastern Europe and Latin America. Client case studies reference 25 engineers placed in three months, 30-plus engineers across Poland and Ukraine, and a two to four year average retention figure. Those are specific numbers worth asking them to validate on a call with references.

Their EOR layer handles local employment contracts, payroll processing, benefits administration, expense tracking, and compliance with local labor law. Engineers in their case studies specifically mention quick resolution of bank documentation requests and business trip support, which suggests a hands-on HR operations function rather than a self-service platform.

### Who They Fit

Alcor is transparent about their target client: VC-backed companies scaling post-Series A through Series C, building AI-native products, and needing to extend runway without sacrificing engineering quality. The clients named on their site include Tubular Labs, Sift, Franki, and People.ai. That is a signal about the buyer profile, not a guarantee of fit for every tech company.

This model suits a company that has already validated its product direction, knows what kind of engineers it needs, and wants to build an owned team rather than use contractors or outsourced development. If you are pre-product-market-fit and need to pivot engineering direction every quarter, a 90-day build-out commitment may be more infrastructure than you need.

Alcor explicitly contrasts their model against two alternatives. First, traditional outsourcing where you pay for hours, manage output indirectly, and have no IP ownership clarity. Second, EOR-only platforms that provide a legal wrapper but no hiring engine, leaving the client to find and manage their own international candidates. Alcor's value proposition is that they do both: find the engineers and keep them legally employed and operationally supported.

### Locations, Salary Data, and Cost Reality

Alcor publishes average monthly salaries for each of their markets, which is useful context even though real compensation will vary by seniority and specialization. Their figures: Ukraine at roughly $3,823 per month, Bulgaria at $3,967, Colombia at $3,861, Argentina at $3,245, Chile at $3,809, Romania at $4,737, Mexico at $4,135, and Poland at $5,000. These are market averages, not Alcor's pricing, and senior AI engineers will sit above them.

Their headline claim of 30 to 50 percent cost savings versus US-based hiring is plausible in the mid-seniority range when you factor in total US employment cost (salary, benefits, recruiting fees, office, equity). The catch is that the comparison depends heavily on what US market you are comparing against and what seniority level you are targeting. I would ask Alcor for a fully loaded cost model, including their fees, EOR margin, local benefits costs, and one-time setup charges, before building a business case around the percentage savings.

### What to Verify Before Signing

Alcor's positioning is credible for its target use case, but a buyer doing proper due diligence should get specific answers to several things.

First, process fit. Alcor's model is built for software engineering and technical roles. If your hiring need involves non-engineering functions, confirm they have real track record there, not just theoretical coverage.

Second, the management layer. One of the stronger signals in their engineer testimonials is that engineers feel like internal team members rather than rotating contractor resources. Ask Alcor what their ongoing team operations support looks like after the initial hire: who handles performance issues, how retention is actively managed, and what happens if an engineer does not work out.

Third, QA and vetting. They describe engineers as senior-only and pre-vetted for performance. Ask specifically what their vetting process looks like, what rejection rates they see in their pipeline, and whether clients can run their own technical interviews before offers go out. Pre-vetted is a claim worth probing.

Fourth, commercial clarity. Their pricing page exists but is not detailed in available public data. Get a full breakdown of the EOR fee structure, recruitment fee model (flat fee, percentage of salary, or retainer), and any ongoing service fees. Some EOR platforms charge a percentage of payroll that compounds quickly at scale.

Fifth, IP and data security. For any company building proprietary AI or software products with an international team, confirm the contract structure gives you full IP ownership and that data handling meets your compliance requirements. Alcor's model claims no vendor layer, which is the right structure for IP clarity, but verify it in the actual agreement.

Alcor is a focused specialist with a clear, defensible model for a specific type of buyer. The right buyer is a post-Series A tech company that needs to scale an engineering team fast, wants real team ownership rather than outsourced development, and is targeting Eastern Europe or Latin America specifically. If that is your situation, they are worth a serious look. Just run the full-cost numbers and check two or three client references before committing to a multi-engineer build-out.