Labs

Benchmarks & insights.

How purpose-built AI compares to enterprise tools and manual research. Open benchmarks, technical deep-dives, and lessons from the field.

Benchmarks

PIF-Bench v2, our open, rubric-graded benchmark — then Rōmy against enterprise wealth screening and manual prospect research.

PIF-Bench v2 — Live track

Donor reports each product wrote on April 25, 2026 for four real philanthropists, graded on 59 dated, sourced checks. No product met every check for any prospect.

Claude.ai
83% 83%
Rōmy
74% 74%
Gemini
67% 67%
ChatGPT
60% 60%

PIF-Bench v2 — Packet track

20 tasks across prospect research, grants, gift compliance, major gifts, donor data and finance (259 checks), one attempt per model.

GPT-6.1 Sol
95% 95%
Muse Spark 1.3
95% 95%
Claude Opus 5.5
95% 95%
Gemini 3.8 Flash
70% 70%
MiniMax M3
65% 65%
Gemini 3.1 Pro
55% 55%

Time per Prospect

From first search to actionable report

Rōmy
2 – 10+ min 2 – 10+ min
Enterprise Tools
5 – 15 min 5 – 15 min
Manual Research
~45 minutes ~45 minutes

Cost per Report

Fully loaded cost per full research report, depending on subscription tier

Rōmy
$0.50 – $5
Enterprise Tools
$8 – $15 $8 – $15
Manual Research
$50+ $50+

Annual Cost

For a team researching ~200 prospects / month

Rōmy (Growth)
$290 / yr
Rōmy (Scale)
$1,990 / yr
Enterprise Avg.
$15K – $50K / yr $15K – $50K / yr

Report Depth

Sections in a full donor intelligence report

Rōmy
16 sections 16 sections
Enterprise Tools
5 – 8 sections 5 – 8 sections
Generic AI
3 – 5 sections 3 – 5 sections

Blog

Technical deep-dives, research findings, and perspectives on nonprofit fundraising.

Want to run your own benchmarks?

Try Rōmy on your own prospect list. See how purpose-built donor intelligence compares to your current workflow.

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