Momentum has entered into a definitive agreement to be acquired by Salesforce

[Read more here](https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-momentum/)

## A side-by-side comparison

| Category | In-house Solution | Momentum Solution |
| --- | --- | --- |
| Setup Time | 6-12 months | 1 week |
| Cost (Annual) | $1,000,000+ (5 FTE: Engineering salaries, infrastructure, ongoing maintenance) | $99 per month per user + platform fee |
| Team Required | • 3-5+ Full-time engineers  
• 1-2 Data scientists  
• 1 Project manager  
• 1-2 QA specialists | Assigned AE/CSM/SE team + Momentum technical support |
| Maintenance | Continuous in-house effort | Included |
| Scalability | Limited by in-house resources | Scales with your needs |
| Integration Complexity | **High** \- custom integrations needed | Pre-built integrations with major platforms and future integrations (custom) can be accommodated [(see list of integrations)](https://www.momentum.io/build-vs-buy#) |
| AI/ML Capabilities | Internal teams can initially use latest AI models, but are challenged by consistently and quickly adapting or migrating based on changes in the AI industry | Momentum undergoes model updates and maintenance on a bi-weekly basis. Momentum has a tried and true methodology and practice with respect to this and we believe this to be an area of drastic underestimation when building on top of a raw foundation model. |
| Reducing Hallucinations | Requires full time oversight, systems, and advanced knowledge in prompting | Momentum uses RAG, advanced prompt engineering, and a unique extraction engine to ensure accurate, reliable outputs. Our solution evolves with your needs, eliminating the burden of constant internal adjustments |
| Features | Custom - Each time business requirement or process changes, updates and reengineering required | Comprehensive suite of products that are tuned and evolving. The horizontal nature and central thesis of Momentum (to act as a data pipeline under any tech stack) means that we can go potentially deep (and are) into a vertical specific feature set given the right economics. |
| Data Privacy | Full control, but requires significant effort to maintain | [Zero retention](https://www.momentum.io/build-vs-buy#) policy with third-party providers (e.g., OpenAI) backed by a thorough Data Privacy Addendum that we establish with all customers |
| Customization | Highly customizable, but time/resource consuming | Flexible configurations, evolves with your business |
| User Adoption | Requires extensive training | Integrates with existing tools, Momentum meets customers where they are – minimal learning curve, works OOTB |
| Time to Value | **Long** \- must build from scratch | **Instant** \- pre-built solutions ready to deploy |
| Risk | **High** \- success depends entirely on in-house capabilities and team member who may not be there long term and tribal knowledge leaves with them | **Lower** \- proven solution with multiple successful deployments |

Listen to what our customers say

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.avif)

Mark Moore  
Senior Director, Global Deal Desk at Treasure Data  
[Watch full story](https://www.momentum.io/customer/treasure-data)

Scott Miller  
Head of RevOps at Arc  
[Watch full story](https://www.momentum.io/customer/arc)

Michelle Yoshinaka  
VP of Marketing at Sound Agriculture  
[Watch full story](https://www.momentum.io/customer/sound-agriculture)

Nate Follen  
Head of GTM Systems at Ramp  
[Watch full story](https://www.momentum.io/customer/ramp)

Navin Persaud  
VP of RevOps at 1Password  
[Watch full story](https://www.momentum.io/customer/1password)

Mark Turner  
VP of RevOps at Demandbase  
[Watch full story](https://www.momentum.io/customer/demandbase)

.avif)

João Dias  
Senior Manager, RevOps at YipitData  
[Watch full story](https://www.momentum.io/customer/yipitdata)

Kyle Norton  
CRO at Owner  
[Watch full story](https://www.momentum.io/customer/owner)

Yesenia McCoy  
Director of Sales Ops at Scylla  
[Watch full story](https://www.momentum.io/customer/scylladb)