Soltech

For nearly three decades, organizations have partnered with SOLTECH to navigate complex technology decisions and develop software solutions. SOLTECH takes a collaborative, people-first approach focused on understanding client goals and delivering technology aligned with business needs.

Company values

SOLTECH's stated values are:

• Innovation: Embracing new ideas, change, and worthy challenges.
• Accountability: Operating transparently to build trust.
• Challenge: Encouraging creative thinking and respectful differing perspectives.
• Trust: Sharing knowledge, seeking feedback, and succeeding collectively.
• Collaboration: Using different perspectives to find better solutions.
• Communication: Openly discussing needs, challenges, and direction.

Contact

• Phone: 404-601-6000
• Address: 309 East Paces Ferry Rd NE

• Modern cloud-native data platforms
• Data ingestion and transformation pipelines
• Data quality, lineage, observability, and governance
• Foundations for analytics, machine learning, and AI
• Cloud data architecture and modernization
• ETL, ELT, and streaming pipeline engineering
• MLOps and model lifecycle management

Architectures may include data lakes, cloud data warehouses, feature stores, and vector search systems where appropriate. SOLTECH can align cloud data architecture with AWS, Azure, or Google Cloud and the analytics tools used by an organization.

Data pipeline and governance work

SOLTECH builds reusable frameworks for batch and streaming ingestion, transformation, and validation. Pipelines include monitoring and observability, along with safeguards such as retry logic and backfill strategies.

Data quality practices, lineage tracking, metadata cataloging, policies, and role-based access controls help teams understand data origins and usage while supporting security and compliance requirements.

For machine learning and generative AI initiatives, SOLTECH can implement CI/CD pipelines for models, feature and prompt stores where appropriate, evaluation frameworks tied to business metrics, and monitoring and alerts.

Implementation process

1. Assess the data landscape: Evaluate platforms, pipelines, and governance practices.
2. Design the data platform: Architect a cloud-native platform that balances performance, governance, and cost.
3. Build and operationalize pipelines: Create automated ingestion, transformation, and validation with visibility into freshness and reliability.

SOLTECH provides IT staffing and staff augmentation services to help organizations scale with experienced technology professionals, fill technical gaps, and meet project deadlines.

Staffing options

• Contract labor: Short-term, project-based support for a defined period.
• Contract-to-hire: A contract role that allows an organization to evaluate a candidate before making a full-time hiring decision.
• Direct hire: Permanent employee placement supported by candidate sourcing and screening.
• Managed staffing: A fully assembled team managed by SOLTECH and operating as an extension of the client's IT organization.

Managed staffing can help organizations handle increased workloads, project backlogs, or critical deadlines without adding internal management overhead.

Roles and delivery

SOLTECH staffs software developers, engineers, project managers, analysts, and other technical and business professionals. Its expertise also extends to product and project management, accounting, finance, hardware, marketing, and other non-technical positions.

SOLTECH can provide remote and on-site professionals based on a team's needs. In many cases, qualified candidates can be presented within a few days, depending on the role and requirements.

Because SOLTECH is also a software development company, it brings experience across technologies, cloud platforms, and enterprise systems to its staffing work.

SOLTECH develops custom software applications, products, platforms, and services for organizations across the country.

Software solutions

Services include:

• Web application development
• Mobile app development
• Cloud architecture and development
• Custom software development
• Software design
• Software rescue and support
• User experience design
• Internet of Things development
• WordPress CMS development
• Staff augmentation

AI, data, and analytics

SOLTECH offers technology services that help organizations use data and artificial intelligence, including:

• AI strategy and consulting
• AI application development
• Agentic AI solutions
• AI automation and software engineering
• Analytics and data science
• Business intelligence and data visualization
• Data engineering and integration
• Advanced analytics and data systems

AI applications can help businesses move faster, reduce manual work, and make decisions at scale. SOLTECH's analytics and data science services provide predictive, prescriptive, and explainable insights.

Technology strategy and support

SOLTECH provides technology strategy and advisement tailored to business needs. Its software rescue and support services help recover struggling projects, assess application health, and establish reliable long-term support.

SOLTECH provides:

• Modernization strategy and roadmaps
• Legacy application modernization
• Cloud application modernization
• Application discovery
• Solution and experience design
• Development and integration
• Data and application migration
• Launch and continued support

The modernization process begins by evaluating the application, users, workflows, architecture, integrations, data, constraints, and business goals. SOLTECH then compares options, identifies risks, creates a phased roadmap, and supports implementation.

Modernization approaches may include incrementally improving an existing application, rebuilding critical components, integrating new capabilities, or creating a replacement platform.

When modernization may be needed

Applications may benefit from modernization when they have aging technology, significant technical debt, performance or scalability limitations, disconnected systems and data, security or compliance concerns, or functionality that no longer fits the business.

Potential outcomes include faster response to business change, reduced operational friction, lower technology risk, improved scalability and performance, a foundation for AI and automation, and an improved user experience.