Scalability and security are foundational to our platform. We deploy best-in-class cybersecurity protocols and a carefully architected framework to protect your data and processes, ensuring seamless scalability.
Customer data, whether in transit or at rest, is encrypted using industry gold-standard RSA-4096 and AES-256 encryption, adhering to stringent best practices for data protection.

We leverage Google Cloud's resilient and secure infrastructure to power our platform's processing and storage capabilities. Customer data is rigorously isolated within private VPCs, protected by multiple firewalls and accessible solely to our authorised services. To meet regional compliance standards, all data traffic is maintained within the same geographic location.

If the business policy requires local logistics, we can help. We provide a secure, performant, and cost-effective way to run LLMs locally (based on Ollama).
Key benefits include:  

- Privacy and Security: Data remains on your local machine, eliminating reliance on cloud storage.
- Performance and Reliability: Local execution offers faster and more consistent performance compared to cloud-based solutions.
- Cost Efficiency: Avoids cloud-related expenses like storage, data transfer, and usage fees.
- Accessibility and Customisation: Offers a user-friendly platform for downloading, managing, and customising LLMs, with offline functionality.
- Versatility: Supports various tasks, including writing, summarising, planning, and research.

Yes, our conversational AI platform provides you with an option to enable a voice interaction feature.
Our platform offers native support for over 50 languages, empowering you to connect seamlessly with global audiences.
Our AI agents are designed to understand regional dialects and local terminology and deliver responses with culturally appropriate etiquette, ensuring a truly localised experience.

We value our customers and understand not everyone has a tech team or relevant knowledge to do it yourself. We provide simple and complete documentation to help you and your team integrate with our services and platforms. You can rely on our support.

We have several integration options for your choice:
1. iFrame
Simply integrate our platforms and services into your products by copying and pasting our iframe solution.
2. API
Our API is the quickest way to connect with our services to get the most out of your business needs and maximise your business results.
3. Custom
Thanks to our modularised architecture, our platform and services are customisable to your business needs.

We understand that pricing is a key factor in your decision-making process.
We believe in providing tailored solutions that directly address your unique business needs. Therefore, our pricing model is designed to be highly flexible and adaptable, rather than a one-size-fits-all approach.

To give you the most accurate and beneficial pricing information, we'd like to understand more about your specific use case. Factors that influence pricing include:

Scope of Implementation: The complexity and scale of the AI solutions you require.
Customisation Level: The extent to which we need to tailor our technology to your specific workflows and branding.
Integration Requirements: The complexity of integrating our solutions with your existing systems.
Ongoing Support and Maintenance: The level of support and maintenance you need.
Data Volume and Processing: The quantity of data that needs to be processed.

We offer various business models, including:
- Subscription-based pricing for ongoing access and support.
- Project-based fees for specific development and implementation.
- Usage-based pricing for solutions that scale with your business activity.

We're confident that we can develop a pricing structure that aligns with your budget and delivers exceptional value.

 We understand that time-to-market is a critical factor for your business.

We prioritise efficient and effective deployment, but the exact timeline for a production release is dependent on several key variables, ensuring a tailored approach to each client's unique needs.

Factors that influence the release timeline include:
Complexity of the Solution: The level of customisation and integration required for your specific use case.
Data Preparation and Integration: The time needed to prepare and integrate your data with our AI models.
Testing and Validation: The rigorous testing and validation processes we undertake to ensure optimal performance and reliability.
Integration with Existing Systems: The complexity of integrating our solutions with your current infrastructure.
Client Feedback and Iterations: The time required for any necessary adjustments based on client feedback during testing.

Typically, we follow a phased approach:
Discovery and Planning: Initial consultations to understand your needs and define the scope.
Development and Customisation: Building and customising the AI solution.
Testing and Validation: Rigorous testing in a controlled environment.
Pilot Deployment: A limited release to gather real-world feedback.
Full Production Release: Deployment to your entire user base.

While we strive for rapid deployment, we also emphasise quality and thoroughness. We work closely with you throughout each phase to ensure a smooth and successful release.
To provide a more accurate timeline, we would appreciate the opportunity to discuss your specific requirements in detail.