43 Labs
Service_

AI / IT Consulting

Expert advice on technology implementation and AI adoption. First consultation is free.

1. Strategy: CTO on Demand

The Pain Point

Technology moves fast. Yesterday's "best practice" is today's technical debt. Companies often guess which stack to use, hiring the wrong vendors and building systems that need rewriting in a year.

The Solution: Expert Guidance

Don't guess. Know. We act as your fractional CTO, guiding you through complex decisions. We select the right architecture, vet vendors, and prevent costly mistakes before they happen.

Stack Selection Vendor Vetting

2. AI Strategy: Beyond the Hype

The Solution: Feasibility First

"We need AI" is not a strategy. We help you identify high-impact use cases and design a secure, compliant infrastructure.

  • Feasibility Studies: Can AI actually solve this problem?
  • Vendor Selection: OpenAI vs Anthropic vs Open Source (Privacy-focus).
  • Data Readiness: Is your data structured for RAG/Training?

The Pain Point

You feel the pressure to adopt AI, but you're paralyzed by the options. Security concerns, privacy risks, and "hallucinations" make deployment feel risky. You don't want to just burn cash on a chatbot that doesn't work.

3. Architecture: Fix the Foundation

The Pain Point

Is your current system slow, buggy, or expensive? Your developers are complaining about "legacy code" and features take months to ship. You're worried about security vulnerabilities.

The Solution: Deep-Dive Audit

We perform code reviews and infrastructure audits to identify bottlenecks. We deliver a concrete roadmap to modernize your system without a complete, expensive rewrite.

How We Work: Clarity is Power

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1. Zero-Risk Discovery

The first meeting is always free (0 PLN). We listen, understand your context, and tell you honestly if we can help.

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2. Flexible Engagement

Hire us for a specific audit, a monthly advisory retainer, or hourly problem-solving sessions ($100/h).

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3. Radical Honesty

If a "no-code" tool is better than custom code, we will tell you. If a project is doomed, we will warn you.