CLIENT STORY · VANTEX AI · ALGORITHMIC TRADING PLATFORM · MIAMI
Four engineers in the standups inside the trial. Half the cost of a Miami hire.
Vantex AI runs an automated EUR/USD trading engine for retail and high-net-worth users. Its roadmap needed a research-and-execution layer without opening four US requisitions at $160,000 to $190,000 fully loaded each. Odesa placed a four-person pod for 120 days at 52% below fully loaded US cost, about $186,000 saved, and the feature stream shipped inside one quarter.
Staff augmentation · Client-led sprints · Two-week paid trial, then month-to-month · US East Coast overlap
RESULTS AT A GLANCE
4
engineers productive on the stack inside the two-week trial120 days
feature stream shipped inside one quarter52%
below fully loaded US cost$186K
saved against a US full-time equivalent3 of 4 retained on a follow-on staff-augmentation extension.
THE COMPANY AND THE CHALLENGE
Three parallel workstreams and a team of four.
Vantex AI's engine trades EUR/USD automatically for retail and high-net-worth customers. The roadmap called for a dedicated research-and-execution layer: live strategy research tooling, hardened PAMM and broker APIs, and observability dashboards. The internal team of four could not staff that in parallel with the core product.
US recruiters quoted 18% to 22% of first-year salary and eight to twelve week pipelines per role. Vantex needed engineers with Python, time-series and quant experience who could sit in its standups on US East Coast hours, and it needed them before the quarter, not after it.
✓ Quant-adjacent engineers inside the team's own sprints, not a black-box vendor
✓ Four seats without four US requisitions
✓ Overlap with East Coast hours and a way out if the fit was wrong
WHAT ODESA DID
A shortlist in under a week. A pod in the trial.
Vantex directed the work in its own sprints. Odesa matched the four seats, ran onboarding, covered replacement risk and kept a weekly check-in. Two-week paid trial first, month-to-month after.
Four seats, defined by the workstreams
Senior Python and quant engineer for strategy research; senior backend engineer on Node and broker APIs; mid-level data engineer for the feature store and research notebooks; QA automation engineer for trading-path regression.
Shortlist in under a week
Matched on Python, time-series and quant experience plus East Coast availability. Vantex interviewed and chose.
Productive inside the trial
All four were working on Vantex's stack during the two-week paid trial. The engagement then moved to month-to-month with Odesa handling onboarding, replacement cover and weekly check-ins.
Shipped inside the quarter
Research notebook pipeline with versioned strategy parameters; hardened broker and PAMM integration with fail-closed risk checks; internal ops dashboard for PnL attribution, drawdown alerts and latency; automated regression suite over the order path and account-state edge cases.
THE RESULTS
Four seats. One quarter. Three retained.
Figures for the Vantex AI engagement, provided by Vantex AI.
4
Engineers productive inside the trial
All four were working on Vantex's stack during the two-week paid trial, matched on Python, time-series and quant experience with East Coast overlap.
120 days
Feature stream shipped in one quarter
Research pipeline, hardened broker and PAMM integration, ops dashboard and regression suite, inside the quarter Vantex needed them.
52%
Below fully loaded US cost
About $186,000 saved against four US requisitions at $160,000 to $190,000 fully loaded each, at a blended $48 to $58 an hour.
3 of 4
Retained on extension
Three engineers continued on a follow-on staff-augmentation extension after the initial 120 days. Retention is the number that proves the match was right.
Figures are for the Vantex AI engagement and were provided by Vantex AI. Every engagement is scoped to its own roles and timeline.
WHY IT HELD
Three things made the pod stick.
Matched to the workstreams, not a job title
Each seat was defined by the work in front of it: research, execution, data, regression. Vantex interviewed and chose every engineer.
Inside Vantex's sprints from day one
Same standups, same code review, US East Coast overlap agreed up front. A paid trial, not a pitch, decided whether it worked.
Odesa carried the overhead
Onboarding, replacement cover and a weekly check-in sat with Odesa, so Vantex's four-person team managed the work, not the vendor.
ADD THE SAME KIND OF ENGINEERS TO YOUR TEAM
VERIFIED CLIENT REVIEWS
Vantex is not the only one.
“Odesa.co requires little hand-holding.”
“Project management is responsive, offers solutions, and sets expectations.”
David Steffes
Head of Talent, HeyGen
“Odesa.co's communication and delivery speed are very good.”
“They embedded a software developer in one of our teams, who has performed quite well from very first day.”
Ferran Caellas
CTO, MAD Collective
“We were impressed with their cost, speed, and having a US-based interface.”
“The onboarded developers were able to help us develop and launch a specific feature quickly and under budget. Clear communication, very responsive, and a solid team.”
Erik Rivera
Founder & CEO, CertaPet
YOUR POD NEXT
Add senior engineers to your sprints in days.
Tell us the roles, the stack and the timeline. You will see hand-picked senior profiles within days, interview the ones you like, and decide. Month-to-month, US contracts, from $45/hr.
Prefer email? hello@odesa.co
Val Narodetsky
Founder, Odesa.co · Lighthouse Point, Florida
I ran the Vantex search personally. I will run yours the same way.