97 team-months.Or 5 minutes.
Build it yourself in 18-36 months for $5M-$15M.
Or deploy AuraOne today and start shipping.
Input your assumptions
See how team size and timelines compound into millions.
Full-time engineers dedicated to the platform.
Salary + equity + benefits + overhead.
Time until feature parity with AuraOne.
While you build, competitors ship. Market timing matters.
Ship today. Iterate faster. Win the market.
Calculate your true cost.
Adjust the inputs to see your custom ROI analysis
Engineers needed
Per year
Development time
$14.5M
$7.0M dev + $7.5M maintenance
24mo
Competitors shipping while you build
$1.8M
$50,000/mo × 36
$12.7M
88% cost reduction
24mo
Ship today vs waiting
Deploy today instead of waiting 24 months.
Save $12.7M and ship faster than competitors.
The 97 team-month breakdown.
Verified from 228+ Python modules, 619 UI routes, and 1,182 API endpoints.
This is production code, not estimates.
Frontend Platform
156+ pages with real-time collaboration, glass morphism design system, accessibility compliance
Backend Services
1,182+ API endpoints, evaluation engine, hybrid routing, queue processing infrastructure
Scientific Domain Labs
10 core labs with deep-dive modules, live data connectors, domain frameworks
DevOps & Infrastructure
Kubernetes deployment, monitoring, autoscaling, multi-region, disaster recovery
Compliance & Security
EU AI Act automation, SOC 2, HIPAA, audit logging, end-to-end encryption
Building is just
the beginning.
Every hour on maintenance is an hour not shipping. Security patches. Framework upgrades. Compliance updates.
$2M-$4M annually. Every year.
Engineering Maintenance
4-6 engineers for patches, upgrades, dependencies, incident response
Compliance Updates
Regulation tracking, audit prep, certification renewals
Infrastructure
Cloud compute, databases, storage, CDN, monitoring tools
Scientific Updates
Algorithm updates, connector maintenance, new features
Forever. Every year. Security patches. Framework upgrades. Compliance updates. Infrastructure scaling. Regulatory changes. Bug fixes. Incident response.
With AuraOne: $0. Everything included.
Companies that tried to build.
Real stories. Real costs. Real outcomes.
Biotech Series B
Drug Discovery
Built internal evaluation platform
14 months, $4.2M spent
Switched to AuraOne. Deployed in 2 weeks. Cut costs 89%.
"We spent over a year building what AuraOne already had. The Regression Bank alone would have taken us 6 months."
Autonomous Vehicle Startup
Automotive AI
Custom RL evaluation infrastructure
22 months, $7.8M spent
Migrated to AuraOne. 99.98% success rate day one.
"Building The Regression Bank from scratch was impossible. AuraOne had 10,000+ failure cases ready to prevent regressions."
Healthcare AI Platform
Medical Imaging
HIPAA-compliant annotation workforce
18 months, $5.1M spent
Switched to AuraOne Medical Imaging Lab. Pre-certified.
"Hiring medical experts, building TrustScore™, and maintaining HIPAA cost us $400K/month. AuraOne included everything."
Build vs Buy: The numbers.
Every metric. Every comparison. Every advantage.
| Decision Factor | Build In-House | Buy AuraOne | Winner |
|---|---|---|---|
| Time to Production | 18-36 months | Today | |
| Upfront Investment | $5M - $15M | $10K-$50K/month | |
| Team Size Required | 15-20 engineers | 0 engineers | |
| The Regression Bank | Build from scratch (6-9 months) | 10,000+ failures included | |
| TrustScore™ System | Design + implement (4-6 months) | Production-ready | |
| 10 Scientific Labs | Hire specialists (12+ months) | All labs included | |
| Compliance Automation | Manual evidence collection | EU AI Act, SOC 2, HIPAA automated | |
| Ongoing Maintenance | $2M - $4M annually | Included in subscription | |
| Performance | You validate | 1,818 evals/min guaranteed | |
| Multi-region Support | Build yourself | US + EU ready |
While you build, competitors ship.
The opportunity cost isn't in the budget. It's in the market you lose.
18-36 months is an eternity in AI.
You're Building
- →Hiring engineers for 2 years
- →Debugging infrastructure problems
- →Catching up to industry standards
They're Shipping
- →Iterating on product features
- →Learning from real customer data
- →Building competitive moats
Market timing matters. Choose wisely.