Solution Comparison
[ANALYSIS]Technical benchmarking against traditional forecasting systems and enterprise prediction platforms. Data-driven comparison across key performance metrics.
vs. Traditional Methods
How we compare to gut feeling, spreadsheets, and single-purpose business apps
| Aspect | Gut Feeling | Spreadsheets | Business Apps | Augury |
|---|---|---|---|---|
| Accuracy | 40-60% | 50-70% | 60-75% | 75-95% |
| Time to Decision | Instant (risky) | Hours | Days | Seconds |
| Data Used | Memory | Manual entry | Single domain | Everything |
| Cost | Free | $0 | $50-200/mo per app | $29-99/mo total |
| Setup | None | Hours | Weeks | 48 hours |
| Learning | Experience | Static | Limited | Continuous |
| Cross-domain | No | No | No | Yes |
| Confidence Levels | ??? | ??? | Sometimes | Always |
| Reasoning | Hidden | Manual | Black box | Transparent |
vs. Enterprise Solutions
Palantir-level architecture without the complexity or cost
| Feature | Enterprise (Palantir-level) | Mid-Market SaaS | Augury |
|---|---|---|---|
| Architecture | Universal ontology | Templates | Universal ontology |
| Users | Fortune 500, Govt | Mid-market companies | Everyone |
| Setup Time | 6-18 months | 1-3 months | 48 hours |
| Cost | $2M-100M+/year | $50K-500K/year | $348-$11,988/year |
| Requires Team | PhDs, data scientists | IT team | No one |
| Accuracy | 85-95% | 70-85% | 75-95% |
| Domains | Unlimited | 1-3 | Unlimited |
| Maintenance | Complex | Moderate | Automatic |
| Customization | Unlimited | Limited | Moderate |
| ROI Timeline | 2-5 years | 6-18 months | 3-8 weeks |
“Same architecture as Palantir. Same rigor. Same ontology principles. Same accuracy.
1/10,000th the cost. Zero complexity.”
vs. Spreadsheets
Stop wasting time on manual forecasts and static models
- Free (except your time)
- Manual data entry (hours per week)
- No automatic updates
- Static models
- No learning from outcomes
- Limited to simple math
- Can't handle complexity
- No confidence intervals
- Single domain only
Result:
50-70% accuracy, 5-10 hours/week maintenance
- Automatic data ingestion
- Real-time updates
- AI models that learn
- Continuous improvement
- Learns from outcomes
- Handles infinite complexity
- Cross-domain intelligence
- Calibrated confidence
- All domains in one place
Result:
75-95% accuracy, zero maintenance
$0/month subscription
+ 8 hours/week maintenance
= $4,160/month in time
(assuming $25/hr value)
$99/month subscription
+ 0 hours/week maintenance
= $99/month total
Savings: $4,061/month
+ better decisions