Frequently Asked Questions (FAQs)

We provide comprehensive training sessions for your in-house teams, including documentation and hands-on sessions, to ensure smooth adoption of the software solution.

We follow strict security protocols and best practices, including data encryption, secure coding, role-based access controls, regular security audits, and compliance with industry standards like GDPR, HIPAA, or PCI DSS.

We accommodate change requests through our agile process, ensuring that they are properly reviewed, estimated, and incorporated into the project without disrupting overall timelines or budgets.

Triseed Software Inc. provides a range of core services, including Custom Software Development, AI/ML solutions, mobile app development, web development, cloud solutions, cloud integrations,  IT consulting, data analytics engineering, cybersecurity, and IT staff augmentation expert services.

Yes, we have vast experience in integrating custom software solutions with existing ERP, CRM, accounting, or other third-party systems through APIs, middleware, or other integration mechanisms.

We use a tailored approach based on the client’s specific needs, focusing on business analysis, IT strategy, solution design, technology assessment, and implementation planning.

We have built numerous mobile apps for Android and iOS, using both native (Kotlin, Swift) and cross-platform technologies (React Native, Flutter). We can handle everything from design to deployment on app stores.

We have extensive experience in AI and ML project implementations, working on projects that involve natural language processing (NLP), predictive analytics, recommendation systems, computer vision, and automation using popular frameworks like TensorFlow, Keras, and Scikit-learn.

Our project management approach is agile, and we assign dedicated project managers to every client. We also use tools like Jira, Trello, or Asana to ensure transparency and maintain clear communication throughout the project lifecycle.

We work within your allocated financial objectives and budget constraints by prioritizing project goals, identifying cost-effective solutions, and providing options to adjust scope or resources to meet financial limitations while achieving your objectives.

Project timelines depend on the size and complexity of the solution. A small project could take a few weeks, while more complex software could take several months. We'll provide a clear timeline after discussing the project requirements.

Yes, we offer legacy system modernization services to help organizations migrate outdated systems to newer technologies, improving performance, security, and user experience while minimizing risks.

Yes, we offer DevOps services, including CI/CD pipeline setup, infrastructure as code, containerization (using Docker, Kubernetes), automation, and monitoring for faster and more reliable software delivery.

Triseed Software has become the first and only trusted partner of Databricks in the Philippines since 2023, further establishing our reputation for excellence and innovation in the IT industry.

We use automated and manual testing methods, including unit tests, integration tests, and end-to-end testing. Additionally, we follow industry best practices such as code reviews, continuous integration, and continuous delivery (CI/CD).

Triseed Software Inc. is a premier software development and IT consulting company, established in Chicago, Illinois, USA, and officially registered in the Philippines. Our cutting-edge solutions and expertise in Software development, Artificial Intelligence (AI) and Machine Learning (ML), Data engineering, and Cloud solutions drive our team of professional development engineers, solutions architects, and IT experts to excel in meeting organizational needs and delivering the latest innovations in IT technology. Our strong collaboration with the top three largest cloud providers—Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure—have solidified our foundation as a leading tech company. Our diverse, highly experienced, and skilled engineers and professionals have demonstrated their success through unique and effective project implementations across various industries. Notably, Triseed Software has become the first and only trusted partner of Databricks in the Philippines, further establishing our reputation for excellence and innovation in the IT sector.

We follow an agile development process that includes requirements gathering, design, development, testing, deployment, and ongoing support. We emphasize continuous collaboration with clients to ensure project success.

We hold regular status meetings, provide detailed progress reports, and offer access to project management tools where you can track milestones, tasks, and timelines in real-time.

Costs vary depending on the project scope, complexity, technologies used, skillset and timelines. We offer detailed quotes based on your specific requirements after an initial consultation.

Triseed Software stands out for its deep expertise in AI, machine learning, custom software development, cloud engineering, and data analytics services, offering innovative, tailored, and scalable solutions across industries, with a strong focus on client-centric, cost-effective, and cutting-edge digital transformation and modern technologies.

You can reach by visiting our website at  www.triseed.com.ph or via our facebook page/messenger Triseed Software, Inc. or via email by sending us your enquiries at info@triseed.com.ph or by calling us at : PH number +63 966 480 4111 or +63 962 674 4011 or US number 815-556-2627.

Yes, we have extensive experience working with both on-premises infrastructures and cloud-based solutions, depending on your business needs and preferences.

We specialize in various technologies, including but not limited to Databricks, Snowflake, dbt, METAFLOW, Airflow, Mlflow, Python, Kubeflow, Terraform, Flutter, Hugging face, TensorFlow, Java, ReactJS, Kebernetes, Mistral AI, Gemini, Llama#, Falcon Ai,  Prometheus, .NET, Node.js, AWS, Azure, Google Cloud, Docker, and GenAI/ML Frameworks.

We sign non-disclosure agreements (NDAs) with all clients to ensure the confidentiality of your data and projects. All intellectual property rights to the developed solution will belong to you as per the terms outlined in our contract.

Yes, Cloud Solutions is one of our core expertise, we offer cloud migration services to help businesses move their existing applications and data to platforms like AWS, Azure, and Google Cloud, ensuring scalability, security, and cost efficiency.

The Triseed team regularly participates in training, attends industry conferences, and engages in R&D to stay current with the latest tools, technologies, and methodologies in software development and IT consulting.

Yes, we offer IT staff augmentation to fill specific roles or skill gaps in your team, providing professionals in fields like Software development, Data engineering, AI/ML engineering, Cloud engineering, and more, either remotely or onsite.

Yes, we offer post-launch maintenance and support services to ensure your application runs smoothly and is updated with any new features, bug fixes, or security patches.

We serve a wide variety of industries, including finance, healthcare, e-commerce, transport and logistics, education, retail, manufacturing, hospitality,  construction, government and real estate.

Absolutely! We partner with startups to help turn their ideas into scalable products. We can assist with everything from MVP (Minimum Viable Product) development to full product lifecycle management.

Triseed offers expertise in AI, ML, Cloud Engineering, and Data Engineering to help businesses accelerate digital transformation, drive innovation, and achieve their strategic objectives. Our team of experienced professionals specializes in designing and implementing AI-driven solutions, building scalable cloud infrastructure, and optimizing data pipelines to unlock the full potential of data and technology for business success.

Cloud Engineering involves the design, development, deployment, and management of cloud-based solutions and services. Cloud Engineers leverage cloud computing technologies to build scalable, reliable, and secure infrastructure and applications that run on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Cloud Engineering offers several benefits for businesses, including cost savings, scalability, flexibility, agility, and enhanced security. By migrating to the cloud, organizations can reduce infrastructure costs, scale resources dynamically, deploy applications faster, and access advanced cloud services and technologies to innovate and stay competitive in the digital economy.

Data Engineering plays a crucial role in AI and Machine Learning initiatives by providing the foundation for data collection, preparation, and analysis. Data Engineers build data pipelines and integrate disparate data sources to create centralized repositories of clean, structured data that can be used to train ML models, validate hypotheses, and derive actionable insights for business use cases.

In business, Machine Learning is applied in various domains, including predictive analytics, customer segmentation, sentiment analysis, recommendation systems, and demand forecasting. ML algorithms analyze large datasets to uncover insights, identify trends, and make data-driven decisions that drive business outcomes and improve operational efficiency.

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to mimic human cognitive functions, such as learning, problem-solving, and decision-making. AI technologies enable computers to perform tasks that typically require human intelligence, such as speech recognition, image processing, and natural language understanding.

Common challenges in AI, ML, Cloud Engineering, and Data Engineering projects include data quality issues, scalability constraints, security concerns, talent shortages, and regulatory compliance requirements. Overcoming these challenges requires a comprehensive understanding of technology, domain expertise, strategic planning, and collaboration among cross-functional teams.

Machine Learning (ML) is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data. ML algorithms learn from historical data to identify patterns, make predictions, and adapt their behavior over time without being explicitly programmed.

Data Engineering involves the design, implementation, and management of data infrastructure and systems that enable organizations to collect, store, process, and analyze large volumes of data efficiently. Data Engineers develop data pipelines, data warehouses, and data lakes to ensure data quality, reliability, and accessibility for analytics and decision-making.

AI has various applications across industries, including customer service automation, personalized recommendations, fraud detection, predictive analytics, and process automation. In business, AI technologies are used to streamline operations, improve efficiency, enhance customer experiences, and drive innovation and growth.