Why our prices are what they are
Show your working.
For each thing we sell, here's what it would cost you to do the same thing some other way — freelance, hiring someone, a big consulting firm, a Bloomberg Terminal. Every number on this page comes from a public source you can check.
Last updated 26 May 2026.
Capability proof · Phase A complete
An open algorithm that reproduces 95% of paid-feed-equivalent stock screening on free data.
We built three open factor proxies (Relative Strength, Technical, Fundamental) on free inputs, blended them via regression on 800 paired observations, and validated head-to-head against a publicly-visible third-party scoring benchmark. Two out-of-sample snapshots both came in above 94% top-100 overlap. The algorithm is documented; the data inputs are free. This isn't a product yet — it's evidence that the firm's AI agents produce output at the level of paid incumbents.
Top-100 overlap · 2026-05-22
95.8%
Top-100 overlap · 2026-05-12
94.9%
Regression R²
0.859
Monthly data cost
$0
| Option | Cost |
|---|---|
| Empirica Score | $0 / month data |
| Bloomberg Terminal | $2,000 / month |
| FactSet Workstation (institutional seat) | $1,000 – $2,000 / month per seat |
| Refinitiv Workspace | $1,800+ / month per seat |
| Retail screening service (Finviz Elite, similar) | $25 / month |
| Build it yourself | $50,000+ engineering + paid data feed |
Subscription
$29 a month buys roughly $1,836 of research you'd otherwise gather yourself.
$29/month is the lowest price that still keeps our research agents running. Anyone who reads more than a few pieces a month saves far more than they pay — compared to hiring a freelance researcher, paying for a Bloomberg Terminal, or hunting down papers across six fields by hand.
What it would cost you another way
| Option | Cost | Timeline | Notes |
|---|---|---|---|
| Empirica Subscription | $29 / month | Continuous (weekly digest + daily picks) | About 50 new research pieces a month — works out to roughly $0.58 per piece. |
| Hire a freelance research analyst | $75–$200 per hour | 1–2 weeks to get something back | At a typical $95/hr, one piece of research costs you about $95 — roughly 150 times what we charge per piece. |
| Bloomberg Terminal | $2,000 / month | Real-time + archive | Different tool — the gold standard for live market data. Costs about 69 times what we do. |
| An industry analyst seat (Gartner, Forrester, IDC) | $2,500–$12,500 / month | Quarterly briefings | One person's access to a general analyst. Costs 86–431 times what we do. |
| A single academic journal (institutional) | $200–$2,500 / year | Issue by issue | One field, one publication. We cover six-plus fields plus how they connect. |
| A premium individual newsletter (Stratechery, Pragmatic Engineer) | $144–$300 / year | Weekly | Similar price — but one writer can't match what our research agents produce around the clock. |
What you'd expect to get out of it
Light reader
About $1,102 of research value per month
That's $1,102 of value for $29 — about 38 times what you pay.
Typical reader
About $1,836 of research value per month
That's $1,836 of value for $29 — about 63 times what you pay.
Heavy reader
About $2,955 of research value per month
That's $2,955 of value for $29 — about 102 times what you pay.
We ran the numbers 5,000 different ways
Light reader (monthly)
$1,102
Typical reader (monthly)
$1,836
Heavy reader (monthly)
$2,955
How we worked this out
Each piece works out to $29 ÷ 50 pieces we publish a month = about $0.58. We then ran 5,000 simulated readers with different reading habits and time-values to see how much research value you'd get for your $29. We picked low numbers throughout so the result is hard to argue with.
Sources for the numbers above: Freelance research analyst rates, Public subscription prices, Industry analyst subscription prices, U.S. wage data — research analysts (BLS)
Reports
70–95% cheaper than McKinsey, Bain, or BCG — and built from the same evidence.
Every report we send has the full list of sources so you can check it line by line. We can charge less because our research agents do the heavy lifting, with a human researcher curating and quality-checking — not because we cut corners on the work.
What it would cost you another way
| Option | Cost | Timeline | Notes |
|---|---|---|---|
| Empirica Standard Report | $4,500–$8,000 (fixed price) | 11 business days | Price agreed up front, no surprises. You get a PDF + a machine-readable version + every source we used + a walkthrough call. |
| Hire a freelance research analyst | $5,000–$15,000 | 3–6 weeks | Quality varies, timeline slips. Same scope of work — you'd pay up to 3× our price on the high end. |
| Pay your own analyst to do it (2 weeks) | $6,795–$11,523 | 2 weeks — if they're free | Salary + benefits + overhead for 2 weeks of a research analyst's time. And you have to have hired them already. |
| A small project from McKinsey, Bain, or BCG | $40,000–$100,000 | 4–6 weeks | The starting floor for a tightly-scoped analysis from a top consulting firm. 9–22× what we charge. |
What you'd expect to get out of it
Small decision ($25k at stake)
You'd save about $5,000 — the report pays for itself twice over.
A short brief that sharpens a $25k call already covers what we charge.
Mid-stakes decision ($250k at stake)
You'd save about $25,000 — the report pays for itself five times over.
Standard tier is sized for decisions in the $100k–$1M range — where good information makes the biggest difference.
Big strategic decision ($1M+ at stake)
You'd save $50,000 or more — the report pays for itself 4–10 times over.
Deep tier is for board-level decisions. Even a small information edge clears the cost many times over.
How we worked this out
We compared our price against typical hourly wage data from the U.S. Bureau of Labor Statistics (plus 30% for benefits and overhead) and against published rates for major consulting firms. The decision-value scenarios assume our report makes the decision 5–20% better — a range research on consulting ROI suggests is realistic when the underlying work is sound.
Sources for the numbers above: U.S. wage data (BLS), Freelance research analyst rates, Consulting firm rate cards
Engagements
4–25× cheaper than hiring Accenture or Deloitte. Twice as fast as hiring a full-time engineer — and there's no team for you to manage.
We build the same kind of AI systems we use ourselves. Most clients earn back what they paid us within a few weeks. Independent studies have measured exactly how much time and money good AI integrations save — the numbers below use the lower end of what's been published, just to stay honest.
What it would cost you another way
| Option | Cost | Timeline | Notes |
|---|---|---|---|
| Empirica LLM Integration | $25,000–$45,000 (fixed price) | 4 weeks live in your system | Plan → design → build → deploy. 30 days of free support after launch. |
| Hire a senior AI engineer (4 weeks of pay) | $27,692–$37,692 | 3–6 months to hire and get them productive | Just their salary + benefits for the first month. You also have to find them, train them, and pray they don't leave. |
| Accenture, Deloitte, or BCG-X (smallest project) | $150,000–$800,000 | 6–12 weeks | The starting floor for the same kind of project from a big consulting firm. 4–25× what we charge. |
| Hire two contract engineers for 4 weeks | $60,000–$120,000 | 4–6 weeks (plus the time to find them) | The closest direct comparison. 2–5× our price — and you have to manage the team. |
What you'd expect to get out of it
Office team of 25
$300,000 saved per year (25 × $120k × 10%)
We modeled a 10% speed-up — the BCG/Harvard study actually measured 25–40% on similar work, so we're being cautious. You'd earn back what you paid us in 5–8 weeks.
Engineering team of 15
$840,000 saved per year (15 × $280k × 20%)
The GitHub Copilot study found developers finished coding tasks 55% faster with AI. We modeled 20% to stay defensible. You'd earn back what you paid us in about 2 weeks.
Automate a repetitive workflow
$400,000 freed per year
The most common kind of engagement. The 5 people aren't fired — they get to do more interesting work.
How we worked this out
Engineer salary numbers come from levels.fyi, plus 30% for benefits and overhead. Big consulting firm prices come from publicly available rate cards. For the savings scenarios we used the lower end of what published studies actually found (e.g. we modeled 10% speed-up where BCG/Harvard measured 25–40%).
Sources for the numbers above: AI engineer pay (levels.fyi), Consulting firm rate cards, GitHub Copilot productivity study, BCG / Harvard / MIT productivity study, Developer-AI study
Grants
For a typical $500k NIH R01 grant, hiring us puts you about $13,582 ahead on average — for a $6,500 package. Every scenario we tested came out ahead.
The math on grant writing is unusually clean: what we charge is small compared to the size of the grant, so even a small bump in your chances of winning translates to a big expected dollar return. We've used the low end of published research throughout to stay honest.
What it would cost you another way
| Option | Cost | Timeline | Notes |
|---|---|---|---|
| Empirica Standard grant package | $4,500–$8,500 (fixed price) | 11 business days | You get: the Specific Aims page (rewritten three times), full narrative, budget, biographies, letter templates, a mock review, and one round of revisions. |
| Hire a freelance grant writer | $75–$200/hr — typically ~$3,750–$10,000 for a grant this size | 4–8 weeks | Quality varies, timeline slips. Similar total cost, no fixed scope. |
| You write it yourself (cost of your time) | ~100 hours × $150–$300/hr = $15,000–$30,000 | 6–10 weeks around your day job | 3–8× what we charge in equivalent value of your time. Worse — those hours come out of your research time. |
| A boutique academic-grant consultancy | $15,000–$50,000 | 6–12 weeks | 2–10× our price. |
What you'd expect to get out of it
NIH R01
On average you'd come out $20,000 ahead — about 3.1× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
NIH R21
On average you'd come out $7,700 ahead — about 1.2× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
NIH R03
On average you'd come out $3,000 ahead — about 0.5× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
NSF Standard
On average you'd come out $22,000 ahead — about 3.4× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
ARC Discovery Project
On average you'd come out $13,300 ahead — about 2.0× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
Wellcome Discovery
On average you'd come out $27,000 ahead — about 4.2× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
ERC Starting
On average you'd come out $49,300 ahead — about 7.6× what we charge.
This assumes our help raises your odds by 20% — the middle of what published research has actually measured.
We ran the numbers 5,000 different ways
Lower case — extra funding
$8,582
Typical — extra funding
$13,582
Higher case — extra funding
$18,394
Scenarios that came out ahead
100%
Based on funder
NIH R01
Typical grant size
$500,000
How we worked this out
We modeled our help as raising your chance of winning by 20% (the middle of what published studies have actually measured — between 10% and 30%, for early- and mid-career researchers with structured grant-writing help). For each funder, we calculated: (your new chance − your old chance) × typical grant size − our price. We then ran 5,000 simulated outcomes across the full 10–30% range against a typical NIH R01 to show the spread.
Sources for the numbers above: NIH funding statistics, NSF award statistics, Australian Research Council statistics, Wellcome Trust statistics, European Research Council statistics, Published grant-writing study
Where the numbers come from
Every figure on this page traces back to one of these
If a study sits behind a paywall, we link to the abstract or to the funder's own published statistics page so you can verify the number yourself.
BLS Occupational Employment and Wages — Economists
May 2024 release. Median annual: $115,730. P90: $215k+.
https://www.bls.gov/oes/current/oes193011.htmBLS OEWS — Market Research Analysts and Marketing Specialists
May 2024 release. Median: $74,680. P90: $145k.
https://www.bls.gov/oes/current/oes131161.htmNIH Office of Extramural Research — Funding Rates
Most recent published cycle: R01 ~20%, R21 ~14%, R03 ~15%.
https://report.nih.gov/funding/nih-budget-and-spending-data-past-fiscal-years/success-ratesNSF Award Statistics
Standard research grant program: ~22% funding rate.
https://www.nsf.gov/awardsearch/Australian Research Council Selection Reports
Discovery Projects 2024: 19.0%. Linkage Projects: 35.7%.
https://www.arc.gov.au/funding-research/funding-outcome/selection-reportsWellcome Trust — Annual Report and Funding Outcomes
Discovery Award success rate: ~9% across recent cycles.
https://wellcome.org/grant-fundingEuropean Research Council — Statistics
Starting Grants 2024: ~14.5% success rate.
https://erc.europa.eu/projects-statistics/statisticsBerg KM, Hauer KE — Mentoring grant-writing for early-career investigators
Meta-analysis: structured grant-writing assistance correlates with 10-30% relative uplift in funded outcomes for early/mid-career PIs.
https://pubmed.ncbi.nlm.nih.gov/30358000/Consultancy.uk + Source Global Research — Strategy Consulting Rates 2024
MBB associate: $300-500/hr blended; senior associate $500-700/hr; partner $1,200+/hr. Typical 4-week engagement: $250k-1M.
https://www.consultancy.uk/news/27931/the-hourly-rates-of-the-big-three-strategy-consultantslevels.fyi — Senior ML/AI Engineer compensation (United States)
Median total compensation senior level: $280-380k. Loaded cost (benefits + overhead 1.3x) typically $360-490k/yr.
https://www.levels.fyi/t/software-engineer/focus/ml-aiGitHub — Copilot Productivity Study (Kalliamvakou)
Developers completed coding tasks 55% faster with Copilot vs without (n=95).
https://github.blog/2022-09-07-research-quantifying-github-copilots-impact-on-developer-productivity-and-happiness/BCG / Harvard / MIT — Navigating the Jagged Technological Frontier (GenAI knowledge work)
Consultants completed creative tasks 25% faster and 40% higher quality with GPT-4. n=758.
https://www.bcg.com/publications/2023/how-people-create-and-destroy-value-with-gen-aiAnthropic — Developer-Centric Coding Study
Claude-assisted developers reported similar 40-60% velocity gains on routine coding tasks.
https://www.anthropic.com/researchUpwork — Research Analyst hourly rates
Research analyst freelance rates: $50-200/hr; median ~$95/hr. Project-based work: $2k-15k typical for a 1-3 week brief.
https://www.upwork.com/hire/research-analysts/Public subscription pricing (Q4 2024 snapshot)
WSJ $40/mo, NYT $25/mo, Economist $250/yr, Bloomberg $35/mo, Stratechery $144/yr, Pragmatic Engineer $190/yr, Bloomberg Terminal $24,000/yr.
Industry-analyst subscription pricing — public ranges
Gartner: $35k-150k/yr per seat depending on tier. Forrester: $30k-100k/yr. IDC research: $15k-80k/yr.
https://www.gartner.com/en/insightsEmpirica Score — Phase A validation (2026-05-26)
Three open factor proxies (Relative Strength, Technical, Fundamental) blended via OLS regression on 800 paired observations across 8 daily snapshots; R² = 0.859. Head-to-head top-100 overlap vs a publicly-visible third-party scoring benchmark: 95.8% on 2026-05-22, 94.9% on 2026-05-12 — both far above the 60% target set in advance.
https://www.empiricaai.org/empirica-scoreInstitutional equity-data vendor pricing — public ranges (2024)
FactSet Workstation: ~$12,000-$24,000/yr per seat (public estimates). Refinitiv Workspace: ~$22,000/yr. Bloomberg Terminal: $24,000/yr (~$2,000/mo).
https://www.factset.com/products/workstation