aixmoz: Artificial Intelligence
Unleash your enterprise with optalk.ai
optalk streamlines the process of building and operating AI applications that can transform your business. Using optalk, you will:
- Unify and understand your all your data.
- Streamline mission critical workflows.
- Gain new insights into your business.
- Enhance decision-making.
- Radically increase enterprise value.
optalk is both powerful and easy to use.
- Secure and private: Works securely with your data inside your enterprise – not on the public internet.
- LLM agnostic: Use the LLM that is right for your business and applications.
- API-driven open architecture: Speeds development, enhances operations, and increases security.
- Best-in-class commercial components: Use proven AI-focused infrastructure and application development tools.
- Purpose-built proprietary components: Maximize usability, performance, and data integration and management.
- Data management: Connect to, access, and analyze any type of data from any drive, application, or database.
- Automated infrastructure management: Ensures that your AI applications can scale effortlessly and deliver superior performance in operation.
- Flexible, powerful UI/UX: Interact productively with your AI applications.
- AI development expertise: Leverage our elite team to design, build, and operate your AI applications.
aixmoz is our embedded engine for configuring, deploying, and operating optalk application. aixmos manages all the infrastructure functions needed to deliver high-performance AI applications:
- Infrastructure set-up and management:
Automated configuration, deployment, operation, and scaling of AI application infrastructure. - LLM deployment and operations:
Configures and operates the LLM to support AI applications. - LLM interfaces:
Connects LLMs to data sources, rendering engines, and end users. - Data access, analysis, and management:
Manages access to and the flow of data through Optalk.ai applications.
Optimoz serves the entire AI solution development lifecycle. Our team has the experience and expertise you need to deliver and operate your AI applications successfully, including:
- CTOs
- Product managers
- Business analysts
- Solution architects
- AI technology experts
- Data scientists and engineers
- AI-fluent software engineers
- DevSecOps experts
- Cloud engineers
Our services are targeted at making your AI applications successful in operation and impactful for your business:
- AI business case development: to ensure that your enterprise sets the right priorities for your AI efforts.
- AI technology evaluation and selection: to enable you to select the right technologies to support your AI plans.
- Product management: to build the best possible AI solutions that satisfy the needs of your stakeholders.
- AI application development: to make sure that you deliver the right AI products for your business on time and on budget.
- AI Operations, including LLM Ops and ML Ops: to ensure that your applications are high performance and efficient in operation.
Optimoz works with your team through the AI application development lifecycle to deliver game-changing results using AI. Our four-phased approach is highly collaborative and focused on realizing business value.
- Analyze Systems & Data – Analyze systems of record, data quality, data management, practices, and infrastructure.
- Prioritize Needs – Work with your team to identify the use cases where AI can have a positive, immediate impact.
- Choose Technologies – Determine which AI technologies are appropriate for identified use cases.
- Develop Applications – Build & test applications.
- Train AI Model – Build integrations, ingest data, and begin training of AI model.
- Implement DevSecOps Process – Ensure high performance of applications in production.
- Acceptance Testing – Test applications with end-users and solicit feedback.
- Design Applications – Create a technical design for your AI applications.
- Create Product Plan – Develop product strategy and requirements.
- Deploy applications – Put applications into production for end-users.
- Fine-Tune Application and LLM Model – Maximize performance in production.
- Data science & data management – to effectively manage the data used by your AI applications and maximize the business insights your enterprise receives.
- Reporting and visualization – to present insights to support effective decision-making.
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