Momentum vs. Build In-House

The Smarter, Faster Path to AI-Driven Enterprise Listening

Deploy AI-driven insights in weeks, not months, and get the most out of your conversations with prospects and customers. Empower your team to learn and adapt quickly, while making data-driven decisions.
Faster Time-to-Value
Implement enterprise listening in weeks, not months or years.
Cost effective
Lower total cost of ownership compared to building and maintaining an in-house solution.
Scalabilty
Easily scales with your business growth without additional infrastructure investment.
Focus
Empower your team to focus on core business activities.
Expertise
Get specialized knowledge in AI, automation and Enterprise Listening
Continuous Innovation
Stay ahead with regular updates and new features.
Reduce Risks
Proven solution with successful deployments across various industries.
Comprehensive integration
Seamlessly integrates with your existing tools.
Cost Comparison
Category
In-house Solution
Momentum Solution
Setup Time
Setup Time
6-12 months
1 week
Cost (Annual)
Cost (Annual)
$1,000,000+ (5 FTE: Engineering salaries, infrastructure, ongoing maintenance)
$99 per month per user + platform fee
Team Required
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
Maintenance
Continuous in-house effort
Included
Scalability
Scalability
Limited by in-house resources
Scales with your needs
Integration Complexity
Integration Complexity
High - custom integrations needed
Pre-built integrations with major platforms and future integrations (custom) can be accommodated (see list of integrations)
AI/ML Capabilities
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
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
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
Data Privacy
Full control, but requires significant effort to maintain
Zero retention policy with third-party providers (e.g., OpenAI) backed by a thorough Data Privacy Addendum that we establish with all customers
Customization
Customization
Highly customizable, but time/resource consuming
Flexible configurations, evolves with your business
User Adoption
User Adoption
Requires extensive training
Integrates with existing tools, Momentum meets customers where they are – minimal learning curve, works OOTB
Time to Value
Time to Value
Long - must build from scratch
Instant - pre-built solutions ready to deploy
Risk
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