WaveAccess

CaptureNow, the SaaS solution provider for consumer-based law firms, had a tight timeframe to develop their product before the go-to-market launch. Once the proof-of-concept was developed, they realized they didn’t feel comfortable enough to build their own dev team and meet the deadline. They decided to engage us to develop a multi-tenant portal for lead capture and customer experience management. The system was supposed to serve as a core to create AI legal assistants.

Milestones 

We collaborated to architect the app so that it could scale as much as the client wanted, so we factored in overnight explosive growth capabilities.

MVP was built within six weeks. After analyzing the beta, we suggested architectural and infrastructural changes that allowed us to 10x the app's speed and ensure the convenience of further support and dev.

Solution's key features

The SaaS-based platform CaptureNow allows users to reduce the cost of customer retention and increase the number of requests and positive feedback. It allows for lead capture automatization (tracking, notifications, etc.), integration with lead generation channels, lead integration into user's CRM, ability to build voice bots out of the box, etc.

Technologies

— The architecture is built on Amazon Cloud solutions

— A multi-region app architecture helps with fault tolerance, low latency, growing a user base, increasing operational flexibility 

— Frontend: Angular 13, Angular Material 13, PrimeNG 13, RxJs 7.5, Typescript 4.6, ESLint 8.12, WebSockets (SignalR) 

— Backend: Elastic container service + serverless architecture on AWS, .NET 6 LTS, AWS SDK, Entity Framework, Aurora Serverless v2 (PostgreSQL), DynamoDB, Terraform, SEQ centralized logging, AWS SES, S3 FileStorage, SNS+SQS (service bus + EventBridge)

Results

— We brought the app to a successful launch 6 months after the start of development 

— Over 160 beta clients were engaged by that time 

— The client’s savings amounted to ≈ 50% by hiring our team

We’ve created ValueXI — an Artificial Intelligence Engine — to help companies cope with AI project challenges and ensure quick & smooth AI integration into their business ecosystem.

This is a customizable low-code platform for processing input data with machine learning algorithms. With this tool, you can expect:
 

• Rapid hypothesis testing and MVP project ready in 1 month
• Reduction of costs and risks of project realization
• Automation of data handling processes
• Modular system and flexible customization
• Custom integration in existing infrastructure
• Warranty, customer and technical support

To top it off — work in the cloud or on-premise!

Our ML team, seasoned in AI development and system integration, supports you every step of the way, maximizing the impact of AI in your business operations.

How ValueXI fuels business with AI

Here’s how you can extract business value from ValueXI promptly:

• Scenario 1: Custom AI solution for your business

ValueAI's customization capabilities allow you to create complete solutions for your business processes. At the same time, the development speed will be 2-3 times faster and the cost will be noticeably lower compared to developing in a dedicated team with multiple data scientists.

• Scenario 2: New AI "feature" to your product

ValueAI is suitable for developing new functionality for a product, platform or complex system. The tool can be easily embedded into an off-the-shelf solution, extending its functionality and providing added value. At the same time, the amount of resources used can be scaled depending on the amount of data.

• Scenario 3: AI as a development tool

With short development and hypothesis testing cycles, you will be able to: prepare and analyze data for model training, easily integrate AI models into your environment, and implement new features faster than competitors.

• And an add-on for any scenario: Use LLM powers

Businesses can strengthen their existing solutions and accelerate the development of new AI products by accessing LLM capabilities via API directly from the ValueXI interface.