How Vantage will 5x team productivity
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For Vantage
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Built for Vantage
Where Vantage stands today.
Based on what we know.
Industry
Fintech infrastructure
Engineering team
~120 engineers, 14 squads
Primary stack
TypeScript, Go, Python
Recent signal
Series C, hiring 40 engineers
What we heard
PR review latency, onboarding ramp
Footprint
NYC, Berlin, remote
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Agenda
01
How Vantage builds today
02
Where AI fits the workflow
03
A short tour of Oborna
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What success would look like
05
Next steps together
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What we hope to learn
How your team writes, reviews, and ships, and where it slows down.
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About Oborna
The editor built to make engineers extraordinarily productive.
A familiar VS Code surface, an AI that understands your whole codebase, and an agent that can do real work alongside your team.
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Where Oborna lands
Three places engineering teams feel it on day one.
01 Writing
Tab completion that understands your repo.
Multi-line, multi-file edits suggested as you type, grounded in the patterns already in your codebase.
02 Reasoning
Chat that already has the context.
Ask about any service, file, or PR. Oborna pulls the relevant code, docs, and history without manual setup.
03 Shipping
An agent that does real work.
Background agents handle migrations, refactors, and routine PRs, supervised by the engineer who owns the change.
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Questions for Vantage
The five we'd like to walk through with your team.
01
Where in the development cycle does your team feel the most drag right now?
02
What tools do your engineers reach for today, and how do they feel about them?
03
How is AI showing up in the workflow today, officially or unofficially?
04
What does security, privacy, and code-egress look like for any tool you adopt?
05
If something worked here, what would you want to be true in ninety days?
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What success looks like
Engineers spend more of the day on the work only they can do.
Less time fighting boilerplate, navigating unfamiliar services, and stitching context across tabs. More time on the design decisions that shape the product.
What we hear from engineering leaders
"It is the first AI tool the team actually opens the next morning, without being told to."
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How teams roll out
A rollout that earns trust before it asks for scale.
Week 1
Pilot with a single team on a real codebase.
Weeks 2–4
Measure against the metrics you already trust.
Month 2
Expand to adjacent teams with shared playbooks.
Quarter 2
Org-wide enablement, SSO, and admin controls.
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ROI Calculator
Model Vantage's return, live.
Engineers using ObornaHeadcount in scope
120251,000
Fully-loaded cost per engineerSalary + benefits + overhead
$265K$120K$400K
Hours saved per engineer per weekConservative customer benchmark: 4–6 hrs
5 hrs1 hrs10 hrs
Annual productivity value$3.67M28,800 engineering hours recovered per year
Oborna investment$58K120 seats × $40/mo
Net value$3.61MProductivity minus cost
ROI multiple63.7×Value per $1 spent
Payback6 daysTime to break even
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Next steps
Here is where we go.
This week
A working session with the team you'd pilot with.
Next two weeks
Security and procurement review in parallel.
Within the month
First pilot team writing real code in Oborna.
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