Our verdict
7T is a software and AI implementation firm in the Dallas, Texas area that Kishore Khandavalli founded in 2012, according to the company’s leadership page. It builds AI agents, machine learning models and custom software into the systems a company already uses, including ERP and CRM platforms, and it runs a Salesforce Agentforce practice.
Companies hire 7T when an AI project has to connect to order systems, customer records and day-to-day operations. Its published work includes a warehouse tablet app for Pepsi, a custom ERP and CRM platform for PHP Agency, and an AWS Lambda system for SiriusXM that processes more than 300,000 connected-vehicle service agreements a month (7T).
The firm’s pricing is unusual for this market. 7T says 90% of its AI projects use fixed-cost models with defined deliverables and timelines, and its published process runs a three-week strategic assessment before any build starts. For a mid-sized company that needs a predictable budget, that combination matters.
Best for
Mid-market companies that want AI built into existing ERP, CRM or operational systems on a fixed-cost contract.
Not ideal for
Teams looking for frontier model research, or buyers who want an off-the-shelf software subscription with no build work.
Scores
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 7.6 | Named production systems for Pepsi, PHP Agency and SiriusXM, documented on its own site. |
| Technical depth | 15% | 7.0 | Agents, ML models and integration work; no published research or open-source output found. |
| Industry depth | 10% | 7.5 | Industry pages for financial services, healthcare, insurance and retail. |
| Delivery model and handoff | 15% | 8.6 | Published phase plan: assessment in weeks 1 to 3, approved designs before code, open JIRA during build. |
| Commercial clarity | 10% | 8.8 | States that 90% of AI projects are fixed-cost with defined deliverables. |
| Platform independence | 10% | 7.2 | Works on Salesforce Agentforce and custom stacks. |
| Stability and scale | 10% | 8.0 | Operating since 2012; founder has led IT services firms since 1997. |
| Independent evidence | 10% | 6.6 | Most evidence is company-published; founder named EY Entrepreneur of the Year in 2022. |
| Overall | 100% | 7.7 | Weighted average |
Where 7T fits
| Need | Fit | Why |
|---|---|---|
| AI agents inside ERP and CRM | Strong | Agentforce practice and custom integrations into existing systems. |
| Custom ML products | Strong | Built the HR analytics platform SimplifiedHR, per its client testimonial. |
| Rescue of stalled software projects | Good | Software rescue is a listed service line. |
| Frontier model research | Weak | No published research program. |
What clients and leaders say
“Once we began the discovery process, the 7T team dug deep into our unique business processes. They not only provided insights on the latest in software, but also challenged us to think bigger, think about greater efficiency, and about the user experience at a different level.”
“When I came to 7T with an idea for an Augmented Reality fitting software to help us flatten our overhead costs, 7T was all in. They worked relentlessly to understand our pain points and create Fit Freedom, a revolutionary app that has reduced our fitting costs by well over 80%.”
“In our search for a development partner we met with 9 companies and SevenTablets stood out for several reasons. First was the Dallas-based development team.”
Drawbacks
- Nearly all public praise comes from testimonials 7T publishes itself. We found no independent review platform or press coverage of a 7T AI deployment.
- 7T does not publish headcount, so buyers cannot judge bench depth from public sources.
- The fixed-cost model depends on a discovery and design phase first; its published plan puts development at weeks 9 to 20, so it is a poor fit for a two-week pilot.
