Transparent pricing for every way you hire
Staff augmentation, direct hire, and fractional across the US and Latin America. Select your situation below and see exactly how it works.
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50,000+
Vetted professionals in our network.
500+
Tech companies hired through Tecla.
1-2 weeks
Average time to first vetted shortlist.

Client results
Scaling a global fintech workforce through LATAM talent.

Hospitality tech is booming. How Actabl staffed up with Tecla to meet post-pandemic demand.
Frequently asked questions
Can you just add an engineer to our existing team?
Yes, that's the embedded engineer model. They work inside your sprints, tools, and codebase alongside your team rather than as a separate workstream.
Do you work with early-stage startups, or only larger companies?
Funded startups, growth-stage technology companies, and mid-market product companies are the strongest fit, provided there's clear product ownership and someone who can make decisions quickly. This isn't currently built for large enterprise product programs.
Who leads the work on Tecla's side?
We match senior AI engineers to your stack, roadmap, and the specific delivery model you choose, whether that's one embedded engineer or a full managed pod.
What's the difference between the delivery models?
An embedded engineer fits when you already have a roadmap and need extra hands. Fractional talent fits when the need is real but not full-time. A managed pod fits when the scope is bigger than one person can carry. A project-based build fits when you know exactly what you want and want a fixed endpoint.
How is pricing determined if there's no rate card?
Scope varies too much by product, codebase, and roadmap to price in advance. We scope pricing together first, so you'll know the exact number before any work begins, not partway through.
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Ready to ship your next AI feature?
Tell us what's on your roadmap and we'll recommend the right way to staff it.














