August 23, 2025|5:07 PM
Whether it’s IT operations, cloud migration, or AI-driven innovation – let’s explore how we can support your success.
What if your next move could speed innovation while cutting risk? We ask this because we know leaders need clear, measurable outcomes, not vague promises.
We bring real credentials and real experience: ScienceSoft’s 35 years in IT and 12 years focused on cloud migration services, paired with Rackspace Technology’s AWS Premier, Azure Expert MSP, and Google Cloud Premier recognitions.
As a strategic partner, our company aligns strategy with business goals, blending deep technical capabilities and a seasoned team to guide transformation from day one through steady-state operations.
Our services unify planning, delivery, and optimization so your business gains value fast while keeping disruption low. We combine automation, governance tools like Rackspace Fabric, and certified architects to keep cost and compliance predictable.
We commit to speed with safety, practical solutions, and long-term accountability, ensuring innovation is continuous and tied to measurable business cases.
We prioritize what matters most, so your teams get results without unnecessary disruption. Our method blends vendor-neutral assessment, technical rigor, and business-focused planning to compress time-to-value while guarding continuity for critical operations.
We start with holistic assessment: cataloging applications, networks, and infrastructure to prioritize workloads and design secure target architectures. Rackspace maps consumption and cutover plans; ScienceSoft calculates TCO and ROI to match options to budget and compliance.
Phased moves and automation reduce downtime, with blue/green cutovers, rollback plans, and IaC to speed provisioning and avoid human error.
Proven processes, deep platform credentials, and dedicated teams reduce risk across every phase. We combine ScienceSoft’s 35 years in IT and 12 years focused on cloud database and application migration services with Rackspace’s platform recognitions to deliver repeatable outcomes.
We staff each engagement with certified experts and a multidisciplinary team that includes architects, engineers, security leads, testers, and program managers.
That mix helps us anticipate edge cases, keep schedules, and control cost while preserving knowledge across phases.
We operate under ISO 9001 quality management and an ISO 27001-based ISMS, giving regulated businesses auditable process discipline and consistent controls.
Security by design is embedded in infrastructure patterns and pipelines, so risk is reduced without blocking delivery.
Our services translate strategic goals into repeatable technical outcomes, so teams move with confidence and clarity.
Consulting and advisory services clarify strategy, align stakeholders, and quantify value, creating a practical roadmap that links business goals to technology choices.
We architect and implement target-state environments, modernize application components, and integrate security by default. We use infrastructure-as-code, CI/CD pipelines, and testing automation to speed delivery and reduce risk.
Our managed services sustain SLAs, enable cost efficiency, and provide proactive support for day-to-day operations. We monitor performance, tune resource usage, and run continuous improvement cycles so you realize expected outcomes.
A detailed discovery sets the stage: we catalog applications, data flows, networks, and infrastructure to map dependencies and reduce surprises during the migration process.
We combine Rackspace’s cataloging with a Well‑Architected Review to classify workloads by value, readiness, and risk.
We design landing zones and security architecture that match business objectives, then estimate consumption using tools and benchmarks to model TCO and ROI.
Validation includes rehearsals, integrity checks, and rollback plans so go‑live is measured and safe.
After cutover, we tune cost and performance, align governance, and capture quick wins so the business realizes value quickly and sustainably.
We match each workload to a practical modernization path so teams move quickly without sacrificing future flexibility. Our approach uses five core choices—Rehost, Replatform, Refactor, Repurchase, and Retire—to align technical effort with business value.
Rehost, replatform, refactor: we evaluate speed, risk, and long-term value and select the best path per application.
Repurchase and retire: where SaaS accelerates capability delivery we recommend repurchase; when assets add no value we retire them to unlock savings and simplify support.
Start with a meaningful pilot to validate tooling, runbooks, and team readiness. A focused pilot creates a repeatable reference and reduces downstream risk.
We document scope, testing, rollback, and acceptance criteria for each workload and standardize decision criteria so owners choose consistently across platforms.
| Strategy | When to use | Primary benefit |
|---|---|---|
| Rehost | Low change tolerance, quick cutover | Speed to value |
| Refactor | High modernization need, long-term payoff | Performance and scalability |
| Repurchase/Retire | SaaS fits requirements or asset is obsolete | Lower ops cost and savings |
We pair provider accelerators with cross-platform standards, so workloads run where they perform best and governance stays consistent across environments.
We support amazon web services engagements using MAP funding, Well‑Architected Reviews, and cost-optimization tools to streamline adoption and ongoing efficiency.
We deliver microsoft azure solutions with Azure Expert MSP rigor, including hybrid options that integrate on-premises systems with cloud infrastructure for staged modernization.
We accelerate data and analytics initiatives on Google Cloud with modernization accelerators and native services that reduce time to insight and simplify operations.
We design multicloud and hybrid patterns to improve performance, resilience, and governance, selecting the right platform for each workload and integration pattern.
| Provider | Key Capabilities | Typical Use |
|---|---|---|
| AWS | MAP, Well‑Architected, cost tools | App lift, cost optimization |
| Azure | Hybrid integration, Expert MSP controls | Enterprise apps, hybrid workloads |
| Google Cloud | Data accelerators, analytics | Data warehousing, ML |
We design security controls that travel with your workloads so risk is managed from day one.
Data protection and access control are core to our approach, combining ScienceSoft’s ISO 27001-based ISMS with platform-native tools and policy automation.
We enforce encryption at rest and in transit, centralized identity and least-privilege policies across each cloud environment, and we validate these controls through continuous testing and hardened pipelines.
We build controls for HIPAA, PCI DSS, SOC 2, GDPR, CCPA, and FedRAMP into templates and evidence packages so audits are repeatable and straightforward.
Rackspace Fabric enables standardized tagging, monitoring, and governance while Intellias-style access controls and encryption preserve data integrity during migration and afterward.
| Control | Provider/Tool | Purpose |
|---|---|---|
| Identity & Access | Central IAM + least-privilege | Limit unauthorized access |
| Encryption | Platform KMS & application keys | Protect data at rest and in transit |
| Governance | Rackspace Fabric & policy engine | Tagging, monitoring, and audit trails |
For practical guidance on compliance and controls, see our recommended compliance and security guidance, and we will tailor those practices to your infrastructure, operations, and risk tolerance.
Clear cost controls and delivery automation together compress time-to-value while preserving reliability. We act on evidence: Flexera finds roughly 35% of enterprise cloud spend is wasted, often much higher without controls.
Our approach ties rightsizing to delivery so teams realize measurable savings and better system performance during the migration process.
We rightsize compute and storage, enable autoscaling, and place workloads where they run best, reserving capacity for steady demand and choosing serverless for spiky patterns.
We implement mature CI/CD pipelines and DevOps tooling to shorten cycle times, reduce release risk, and improve consistency across environments.
We design for high availability with multi-AZ deployments, caching, async processing, and observability to detect issues early and cut mean time to recovery.
We translate scope and complexity into actionable timelines that stakeholders can trust. Below we show typical durations, budget bands, and the drivers that shape both time and cost.
Simple applications often move in roughly two to two-and-a-half months.
Medium and complex applications commonly extend to six months or longer, depending on integrations and refactoring needs.
Data warehouse (DWH) projects range from about two to eight months, driven by data volume, ETL work, and parallel run requirements.
We estimate investments using method (rehost vs. refactor), workload complexity, data size, platform features, and number of environments.
How we improve predictability
| Scope | Typical Duration | Estimated Investment |
|---|---|---|
| Simple application | 2–2.5 months | $20,000–$75,000 |
| Medium/complex application | 6+ months | $75,000–$250,000 |
| Data warehouse (mid-size company) | 2–8 months | $140,000–$280,000 |
| Data warehouse (large enterprise) | 4–12 months | $280,000–$700,000 |
We validate technical claims with case studies that show reduced costs, faster releases, and measurable performance gains.
Our accredited credentials back real-world outcomes. Rackspace holds AWS Premier, Azure Expert MSP, and Google Cloud Premier designations. ScienceSoft contributes deep delivery experience with high-scale analytics and regional platform moves.
| Certification | Example | Result |
|---|---|---|
| AWS Premier | Mobile credit platform regional move | 30% lower infra spend, 40% faster releases |
| Azure Expert MSP | Enterprise app modernization | Improved uptime and deployment cadence |
| Google Cloud Premier | RDS → Google analytics pipeline | Self-service BI, 50% faster queries |
Our team pairs validated solution patterns with post-go-live support to sustain gains. We publish metrics on stability, performance, and cost before and after projects so businesses see clear ROI and repeatable value.
We close engagements with pragmatic plans that hand control to your teams and keep operations steady.
Engage us for a discovery workshop or a free quote, and we will translate stakeholder goals into prioritized milestones, rehearsed cutovers, and measurable outcomes.
Rackspace offers workshops and quotes, ScienceSoft provides transparent SLAs and reporting, and Intellias helps align stakeholders to clear milestones so your transformation stays on track.
We are your business partner for end-to-end services, from a focused pilot to full estate migration, blending technology, governance, and experienced teams to protect timelines and value.
We deliver end-to-end migration services that include strategy, assessment, design, replatforming or refactoring, cutover planning, and post-move optimization, combining professional services and managed operations to reduce downtime, improve performance, and maximize ROI while aligning with your business objectives.
Our advising approach evaluates technical fit, total cost of ownership, and operational impact across AWS, Microsoft Azure, Google Cloud, and hybrid platforms, recommending solutions that meet security, performance, and compliance needs without vendor bias.
Our specialists hold cross-cloud certifications including AWS, Azure, Google Cloud, and VMware, and we apply decades of experience in large-scale transformations, recognized best practices, and ISO-aligned quality and security processes to regulated industries.
We integrate data protection, encryption, identity and access controls, policy-driven governance, and monitoring to support HIPAA, PCI DSS, SOC 2, GDPR, CCPA, and FedRAMP readiness, ensuring auditability and continuous compliance across environments.
Through a holistic assessment of application architecture, data gravity, interdependencies, and business criticality, we classify workloads for rehost, replatform, refactor, repurchase, or retire, then map each to the platform and operating model that delivers optimal cost and performance.
We model cloud consumption and total cost of ownership using real usage profiles, rightsizing analysis, and cost-optimization tools, producing clear ROI scenarios and recommendation on autoscaling, reserved instances, and other levers to realize savings.
We recommend and run targeted pilots for representative workloads, validate architecture and automation pipelines, perform thorough testing and rollback rehearsals, and apply phased cutovers so teams can iterate safely and reduce operational risk.
Our managed offerings include 24/7 platform operations, cost and performance monitoring, security event management, CI/CD and DevOps support, patching, and continuous optimization to maintain availability, control spend, and accelerate delivery.
Timelines vary from weeks for simple rehosts to many months for complex refactors or data warehouse moves; factors include application complexity, data volume, integration points, compliance requirements, and available automation and testing resources.
Investment depends on scope, number of applications, data transfer, tooling, and professional services level; we provide transparent estimates based on TCO modeling and offer options to phase work to spread capital and accelerate time-to-value.
We design architecture patterns, networking, identity, and policy frameworks that enable workload placement across public clouds and on-premises systems, applying centralized governance, tagging, and monitoring to enforce standards and simplify operations.
Our engineers apply autoscaling, fault isolation, disaster recovery planning, performance testing, and caching or CDN strategies, combined with observability and SLO-driven operations to deliver resilient, highly available systems.
Yes, we build CI/CD pipelines, containerization and orchestration patterns, and automated testing and deployment workflows to accelerate releases, reduce manual error, and lower the operational burden on your teams.
We track metrics such as reduction in infrastructure spend, improved time-to-market, increased availability, and operational efficiency, and provide dashboards and case studies that quantify savings and business impact.
Our services include data migration planning, ETL/ELT modernization, cloud-native analytics stacks, and schema optimization to improve query performance, scalability, and cost-efficiency for modern data platforms.
