7T vs. Hang Ten Systems
Both firms appear in our enterprise systems and modernization category. Here is how their scores, facts and best-fit buyers line up.
Updated October 2026
7.7
Mid-market companies that want AI built into existing ERP, CRM or operational systems on a fixed-cost contract.
Read the 7T review
7.0
Very large enterprises with budgeted software or SAP programs that want a small senior team and outcome-based pricing.
Read the Hang Ten Systems reviewScores side by side
| Criterion | 7T | Hang Ten Systems |
|---|---|---|
| Production track record | 7.6 | 6.4 |
| Technical depth | 7.0 | 7.6 |
| Industry depth | 7.5 | 7.0 |
| Delivery model and handoff | 8.6 | 7.0 |
| Commercial clarity | 8.8 | 7.4 |
| Platform independence | 7.2 | 7.8 |
| Stability and scale | 8.0 | 5.6 |
| Independent evidence | 6.6 | 7.6 |
| Overall | 7.7 | 7.0 |
Key facts
| 7T | Hang Ten Systems | |
|---|---|---|
| Headquarters | Dallas, Texas | Palo Alto, California |
| Founded | 2012 | 2026 |
| Size | Not disclosed | About 20 to 25 employees (Sept 2026) |
| Pricing model | Fixed cost on most AI projects | Outcome-based, agreed before work starts |
| Platform partners | Salesforce Agentforce | Independent of model vendors |
| Typical clients | Mid-market and enterprise | Enterprises above about $10B revenue |
Which to choose
7T suits mid-market companies that want AI built into existing ERP, CRM or operational systems on a fixed-cost contract.
Hang Ten Systems suits very large enterprises with budgeted software or SAP programs that want a small senior team and outcome-based pricing.