August 23, 2025|4:35 PM
Whether it’s IT operations, cloud migration, or AI-driven innovation – let’s explore how we can support your success.
Can one clear plan turn a risky technology shift into measurable business advantage? We ask this because too many leaders face trade-offs between speed, cost, and control, and we believe an advisory-led approach changes that balance.
We partner with U.S. organizations to align strategy, architecture, and execution, so teams move from intent to impact with clear milestones and measurable outcomes.
Our expert team maps priority workloads to the right platforms, designs solutions that balance performance, security, and cost, and provides transparent plans that build sponsor confidence.
We coordinate cross-functional teams and vendors, reduce orchestration overhead, and keep your internal staff focused on core business goals while we manage the technical path forward.
Strategic collaboration helps organizations prioritize workloads and unlock faster performance gains.
We begin with a holistic assessment that catalogs applications, dependencies, and infrastructure so decisions rest on clear facts.
From that baseline we identify best-fit platforms, design a high-level target architecture, and estimate consumption and costs to create a realistic plan.
To build momentum we recommend starting with a single, high-impact workload, validating outcomes, rehearsing cut-over steps, and running go-live with strong change management.
Our experts run workshops, apply automation and templates, and use reference architectures to accelerate timelines while keeping governance and compliance intact.
Selecting an advisor with proven credentials turns complex transitions into predictable programs.
We bring deep experience and documented certifications, so you meet technical requirements across major hyperscalers and hybrid environments without vendor lock-in.
We follow ISO 9001 and ISO 27001 practices, which helps safeguard sensitive workloads and aligns with governance and audit needs.
Our dedicated team assigns clear roles, escalation paths, and subject-matter leads to keep velocity and quality in fast programs.
| Capability | What We Deliver | Typical KPI |
|---|---|---|
| Experience & Certifications | 35 years IT, 12 years of migration work, 11,000+ certs | Time-to-first-validate (weeks) |
| Quality & Security | ISO 9001, ISO 27001, security-by-design artifacts | Defect escape rate |
| Partnership Model | Long-term engagements, ongoing support and references | Customer retention / repeat engagements |
We turn discovery into a governed program that carries applications and data through planning, execution, and steady‑state management.
We run a structured assessment across applications, data, infrastructure, and dependent workloads to create a full inventory, dependency map, and readiness score.
Findings translate into a clear strategy and staged plan, with target architecture, security baselines, operational guardrails, and a sequenced process for waves and sprints.
We specify tools for CI/CD, infrastructure as code, and automated testing, then execute application, database, and data warehouse moves with rehearsal, rollback paths, and validation of integrations and performance.
Post‑cutover, we enable monitoring, alerting, rightsizing, autoscaling, and lifecycle policies to protect SLAs and control spend.
A focused inventory of applications and infrastructure lets us prioritize waves that deliver measurable value.
We build a complete catalog of applications and their dependencies, mapping business criticality, compliance needs, and risk.
This lets us group workloads into waves that yield early wins and reduce interruption to operations.
We run a platform-fit analysis that matches security, data residency, performance, and integration needs to available capabilities.
Our plan balances ambition with operational reality and sequences work to protect SLAs and user experience.
| Phase | What We Deliver | Success Metric |
|---|---|---|
| Catalog & Prioritize | Dependency maps, criticality scoring | Time-to-first-validated-wave (weeks) |
| Platform Fit | Requirements alignment report, options analysis | Compliance & performance targets met (%) |
| Validation & Cut‑over | Runbooks, rehearsals, go-live checklist | Successful cut-overs / planned windows (%) |
We commit to structured validation and go‑live procedures, and provide ongoing support so product, operations, and security teams adopt the new environment with confidence.
Choosing the right path starts with clear objectives for time-to-value, risk tolerance, and long-term operations.
We compare rehost (lift and shift), replatform, and refactor to pick the best approach for each workload.
Rehost speeds delivery with minimal change, ideal for apps with few dependencies. Replatform adds efficiency with small changes. Refactor delivers cloud-native agility but requires more effort.
Run a pilot to validate tooling, pipelines, and governance before scaling. We use workshops to align stakeholders and document acceptance criteria for every step.
Telemetry from the pilot informs pattern selection, resource plans, and resourcing models so broader rollout stays predictable.
Our guide ties the selected approach to downstream operations, including change control, rollback strategies, and cut-over rehearsals to protect user experience and business continuity.
We build interoperable foundations across leading ecosystems so teams can run applications where they perform best.
Our certifications and partnerships span AWS Premier Consulting Partner, Microsoft Azure Expert MSP, Google Cloud Premier Managed Services Partner, and VMware Cloud Verified, enabling a true multicloud posture.
We design consistent environment foundations—identity, networking, logging, and monitoring—so infrastructure and operations look and behave the same across public, private, hybrid, and multicloud deployments.
| Platform | Credential | Typical Use |
|---|---|---|
| AWS | AWS Premier Consulting Partner | Scalable analytics and resilient workloads |
| Microsoft Azure | Azure Expert MSP | Enterprise apps, identity, and hybrid scenarios |
| Google Cloud & VMware | Premier MSP & Cloud Verified | Modern data platforms and VM consolidation |
Security and compliance must be designed, not bolted on, to preserve business continuity and protect sensitive information.
We embed robust controls into the architecture, establishing identity and access management, encryption at rest and in transit, and layered network segmentation to match your risk profile.
Our delivery follows ISO 9001 and ISO 27001 patterns, standardizing configuration baselines and audit trails so teams can prove compliance with simple reports.
Automated testing and continuous monitoring catch misconfiguration and drift early, addressing top threats such as unauthorized access, insecure interfaces, misconfiguration, and account hijacking.
We map controls to specific regulatory requirements and work with your legal and compliance staff to validate coverage.
Estimating realistic timelines and budgets up front prevents surprises and keeps stakeholders aligned. We translate scope into clear checkpoints, so teams can measure progress, control spend, and demonstrate value to sponsors.
Typical durations vary by complexity: simple applications often complete in roughly two to two‑and‑a‑half months, medium or complex apps commonly take six months or more, and data warehouse work ranges from two to eight months depending on data volume and integrations.
| Workstream | Typical time | Typical cost |
|---|---|---|
| Simple application | 2–2.5 months | $20,000–$50,000 |
| Medium / large application | 6+ months | $50,000–$250,000+ |
| Data warehouse (500–1,000 users) | 2–8 months | $140,000–$280,000 |
We guard ROI by modeling infrastructure savings, productivity gains, and avoided capital expense over a realistic horizon. Flexera finds significant wasted spend—on average about 35%—so cost controls matter.
Our approach uses a scoped pilot to validate performance and cost assumptions, then scales with rightsizing, autoscaling, lifecycle policies, and managed PaaS to reduce operational overhead. Budgets align to milestones, with alerts and policy guardrails that keep innovation on budget.
We organize a continuum of expertise—consulting, build teams, and ongoing run operations—to keep work moving from idea to steady state.
Our offering spans advisory consulting, professional implementation, and managed services so you can pick the model that fits your capabilities and goals. We staff an integrated team that remains attached from assessment through steady‑state, preserving context and reducing handoff risk.
We commit to partnership: knowledge transfer, measurable success metrics, and continuous optimization so your teams gain capability while experts remain available for peaks in demand.
Concrete outcomes from recent programs demonstrate faster releases, lower spend, and more resilient analytics.
We highlight real projects that translate technical work into business value.
Big data at scale: ScienceSoft built a scalable analytics platform using Apache Hadoop, Hive, and Spark to process over 1,000 advertising data types in near real time. This enabled richer insights and faster decision cycles.
Faster releases, lower spend: A regional migration of a mobile credit application to a new AWS region reduced infrastructure expenses and accelerated time-to-market through better locality and automation.
Self‑service analytics: Moving analytics pipelines from Amazon RDS to Google Cloud enabled business users to run BI queries directly, cutting spreadsheet dependence and improving data accessibility.
| Use Case | Primary Outcome | Measured Benefit |
|---|---|---|
| Big data analytics | Real-time processing of 1,000+ data types | Faster insights; improved ad targeting |
| Regional app relocation | Reduced infra spend and faster releases | Lower TCO; shorter release cycles |
| Pipeline refactor to GCP | Self-service BI and data access | Reduced manual reporting; better decisions |
| Dedicated-to-cloud transfer | Scalable production under high load | Improved uptime and user satisfaction |
Takeaway: disciplined, cross-functional execution and clear governance turn migrations into predictable gains. Identify one similar use case in your system that can serve as the first wave and deliver visible business impact quickly.
A focused pilot and clear checkpoints turn complex transitions into measurable business outcomes. We summarize the journey from assessment and planning through execution to day‑two operations, showing how right strategy, tools, and processes reduce risk and deliver value.
Our expert team aligns application and database moves to target architectures across AWS, Microsoft Azure, Google Cloud, and VMware, selecting platforms that meet performance, security, and compliance needs.
We embed governance and ISO‑aligned controls early, apply cost controls to avoid wasted spend, and use observability to validate SLAs and optimize performance after cut‑over.
Next steps: schedule an assessment, prioritize a high‑impact workload, and pick a migration process that fits time and risk. Contact us to define scope, timelines, and the modern infrastructure plan that sustains measurable results.
We assess each application and data workload, then recommend lift-and-shift when time and budgets are tight, replatforming when modest changes improve performance or cost, and refactoring for long-term agility and scalability, ensuring alignment with your business goals and operational requirements.
We start with a discovery phase to catalog applications, databases, and infrastructure, produce a target architecture and migration plan, and estimate timelines and costs by complexity; this includes resource requirements, tooling, testing windows, and post‑move optimization to deliver realistic ROI projections.
Our team has hands‑on experience with Amazon Web Services, Microsoft Azure, Google Cloud, and VMware, and we design solutions for public, private, hybrid, and multicloud architectures so your platform choice matches security, performance, and compliance needs.
We embed ISO‑aligned practices, strong access management, encryption in transit and at rest, and automated policy enforcement; we also map controls to regulatory frameworks such as HIPAA, PCI DSS, SOC 2, GDPR, CCPA, and FedRAMP to reduce audit risk and maintain continuous compliance.
Post‑migration services cover monitoring, performance tuning, cost optimization, incident response, and routine patching, backed by SLAs and measurable KPIs, so we manage reliability and free your team to focus on product and business priorities.
We use a risk‑and‑value framework to catalogue and score workloads, recommending an initial pilot — a single meaningful workload — to demonstrate value quickly, validate tooling and processes, and build organizational confidence before scaling the program.
We employ a mix of proven migration tools and automated scripts for heterogeneous database moves, use secure data transfer techniques for warehouses, and apply validation and reconciliation steps to ensure data integrity and minimal downtime during cutover.
We implement rightsizing, reserved capacity where appropriate, autoscaling, tagging and chargeback, and ongoing cost governance to prevent overspending, while continuously optimizing architectures for performance and efficiency to maximize your investment.
Our engineers hold vendor certifications across major platforms, have proven experience in large and complex transformations, and provide vendor‑neutral guidance so we select the best-fit platform and tools for your technical and business requirements.
Risk mitigation includes thorough discovery and dependency mapping, rollback and cutover plans, staged testing (functional, performance, security), and clear communication with stakeholders, ensuring continuity and reduced impact to customers and operations.
Yes, we design architectures and operational models that span on‑premises, colocation, and multiple public clouds, enabling portability, resilience, and vendor diversification while aligning to your governance and compliance frameworks.
We track deployment velocity, downtime, performance improvements, cost savings, security posture, and user experience indicators, translating technical metrics into business outcomes so you can see tangible value from the program.
