Every company hires differently.Your resume should too.
Pick a company and role, upload your resume — calibrated bullets in 60 seconds.
The resume problem nobody talks about.
It's not that your resume is bad. It's that every company hires differently — and your resume looks the same to all of them.
100+
applications submitted per job offer on average
The grind is real — and most of it goes nowhere
6x
more interviews when your resume is tailored
Teal · analyzed across 3.2M job seekers
83%
of recruiters prefer tailored resumes over generic ones
Jobvite Recruiter Survey
Tailoring works. The problem is it takes 2–4 hours per application.
Calibr does it in 60 seconds — with company-specific intelligence, not just keyword matching.
See the difference
Same experience. Completely different impact.
Generic bullet
Assisted with product development and collaborated with cross-functional teams to improve user experience.
Calibrated for Google APM
Drove end-to-end discovery for a student engagement feature, partnering with eng and design to ship an MVP that increased DAU by 23% within 6 weeks.
Same experience. Calibrated for Google.
Generic bullet
Worked on various projects involving research and analysis to support business decisions for clients.
Calibrated for McKinsey Consulting
Structured a market-entry analysis for a F500 retail client, synthesizing 12 data sources into a hypothesis-driven recommendation adopted by C-suite within 3 weeks.
Same experience. Calibrated for McKinsey.
Generic bullet
Helped with financial modeling and supported the team in preparing pitch decks for client presentations.
Calibrated for Goldman Sachs IB
Built 3-statement LBO model for $420M acquisition target; co-authored 40-page CIM that contributed to a deal close within 8 weeks of mandate.
Same experience. Calibrated for Goldman.
From resume to calibrated in 60 seconds.
Three steps. No manual work.
Upload your resume
Drop in your PDF or DOCX. We parse every experience and bullet automatically — you never type anything manually.
Resume_2025.pdf
Parsed in 3 seconds
Experiences found
Pick the company, role, and intensity
We research how that specific company hires — their language, culture, and what gets interviews there. Then choose your intensity: Calibrated for polished and grounded, Ambitious to push every bullet to the ceiling of what your experience supports.
Dataset mode · 38 verified Goldman Sachs IB candidates matched
Calibrated
Polished, grounded
Ambitious
Max scope, review before use
Review, edit, and export
Original and calibrated versions side by side. Accept what works, edit inline, see the reasoning behind each bullet. Export just your calibrated bullets — or a fully formatted resume DOCX in one click.
Original
Supported M&A deal execution and helped prepare client presentations and financial models.
Researched industry trends and assisted senior bankers with pitch book preparation.
Calibrated
Built 3-statement LBO model for $380M acquisition target, identifying 3 key value creation levers that shaped the final bid strategy.
↳ Planned angle: deal ownership · vocabulary committed: LBO, CIM, mandate · $380M preserved
Synthesized macro and industry data across 12 sources into a 40-page CIM, delivered to client within 3-week mandate timeline.
↳ Goldman signal: tight timelines + senior deliverable framing · no fabricated outcomes added
Not just keywords. Company intelligence.
Most AI resume tools are glorified find-and-replace. Calibr is built differently — from how it researches to the rules it writes by.
Plans a company-specific angle before writing a single word
Other tools jump from research straight to writing. Calibr first commits to a plan for each experience: the core transferable skill, how that company frames this kind of work, and exactly which company-specific terms to weave in. Google APM ≠ Meta PM ≠ McKinsey BA — and the plan is different for each.
What this means for you
Bullets that sound like someone who already works there — not generic rewrites with a few keywords swapped in.
Hard rules. Zero fabrication. Every original metric preserved.
Every number from your original must appear in the output. The model cannot add outcomes you didn't claim. If there's no strong truthful result, the bullet ends at the action — an honest bullet beats a fabricated one. When verified bullets from real candidates exist for your target company, those patterns layer on top.
What this means for you
Bullets you can defend in every interview — because nothing was invented.
Company-specific research (not just JD keywords)
Plans a company angle before writing each bullet
Verified bullets from real interview outcomes
Zero-fabrication guarantee — every metric preserved
ATS keyword matching
Calibrated / Ambitious intensity modes
Export to formatted DOCX
Gets smarter with more contributions
How it actually works
No black box. Four steps, every time.
Your resume is parsed — not sent raw
We extract job titles, companies, and bullets into structured data. Your name, contact info, and personal header never leave your device for optimization. Stored securely, never shared.
We research how your target company actually hires
Culture docs, job postings, engineering blogs, leadership principles — Calibr extracts the exact verbs and framing that company uses internally. Cached, so popular companies are instant.
If we have verified bullets from that company, patterns replace guesswork
Real bullets from candidates who got interviews — analyzed for top verbs, structures, and how impact is framed. This is dataset powered: not AI generalization, but proof of what already works.
The model plans a company angle per experience — then writes
Before writing, it commits to a plan: the transferable skill, the company framing, the specific terms to use. Hard rules enforce the output — every original metric preserved, nothing fabricated, no filler. Leadership roles are kept authentic, not over-corporatized.
0
resumes calibrated
and counting
0
bullets optimized
across every application
I was applying to consulting, IB, and PM roles at the same time. Calibr was the only thing that made each resume actually feel tailored — not just keyword-stuffed.
Anika S.
UPenn Wharton · Consulting & IB Recruiting
Spent 3 hours on my Google APM resume and still felt like something was off. Used Calibr and got bullets that actually sound like how Google talks about PM work. Night and day difference.
James T.
UC Berkeley EECS · PM Recruiting
The contribute and earn mechanic is smart — I submitted my Goldman bullets and got 5 free optimizations for my next recruiting cycle. Genuinely useful.
Priya M.
Georgetown · IB Recruiting
CONTRIBUTE & EARN
Your resume got you in.
Help the next person get there.
Share the bullets that landed your interview. Earn 5 free optimizations — and make Calibr smarter for everyone who comes after you.
🔒 We only parse your bullet points — your name, contact info, and full resume are never uploaded or stored.
107
verified bullets from real interview outcomes
Simple, honest pricing
Start free. Pay only when you need more.
$5 / 10 credits
One credit = one full optimization
- 3 free credits on signup
- 10 credits for $5
- Credits never expire
- Earn more by contributing
- All export options
$9 / month
Unlimited optimizations, no counting
- Unlimited optimizations
- Priority processing
- Early access to new features
- All export options
- Cancel anytime
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