MONTHLY LEARNING PARTICIPATION
Monthly learning participation increased from 22% to 48% for a US-based B2B SaaS company through a learning intelligence platform integrating HR, learning, and collaboration systems.
LESS ACADEMIC REPORTING TIME
About 60% less academic reporting time achieved for a UK multi-campus university group through SIS, LMS, ERP, IAM, and student services integration.
EXPERTS ON BOARD
Access to a cross-functional team of 250+ software engineering, data, cloud, AI, cybersecurity, and consulting professionals supporting education technology and institutional digital transformation initiatives.
EDTECH SOFTWARE PROJECTS DELIVERED
Custom-built solutions supporting complex educational workflows, regulatory requirements, and long-term scalability, with measurable improvements in efficiency, cost control, and platform reliability.
Education today goes far beyond teaching and learning. Institutions must navigate complex regulations, manage large volumes of sensitive data, support evolving digital academic models, and scale without disrupting daily operations. Computools develops custom EdTech software that connects fragmented systems, automates academic workflows and credentialing, protects assessment integrity, supports compliance, and turns educational data into meaningful insights.
In 90–120 days, Computools removes the security, identity, interoperability, and data-privacy blockers preventing an EdTech platform from closing enterprise and institutional customers. We implement the architecture, access controls, integrations, and technical requirements needed to move products through procurement and security review.
Target outcomes:
In 60-120 days, Computools launches AI tutors, assessment and grading tools, content-generation capabilities, personalized learning, intelligent search, or AI student support without disrupting the core product roadmap. The implementation includes education-specific evaluation, privacy controls, human oversight, and testing for correctness, grounding, bias, data leakage, and academic integrity.
Target outcomes:
In 60–90 days Computools builds an automated AI Learning Product Trust & Evaluation Layer covering factual accuracy, hallucination detection, content safety, bias, student privacy, prompt security, model drift, and human escalation. The layer creates a repeatable governance framework around AI-powered learning functionality.
Target outcomes:
Computools delivers accessibility remediation in three stages: a 2–3 week Accessibility Risk Assessment, a 6–12 week Remediation Sprint, and Accessibility CI/CD Guardrails that help prevent the same issues from returning in future releases.
Target outcomes:
In 60–90 days Computools builds a standardized interoperability layer around LTI 1.3 and institutional APIs, allowing EdTech platforms to connect with environments such as LMS and SIS systems without rebuilding the integration architecture for every customer.
Target outcomes:
In 90–120 days Computools connects LMS, HRIS, performance, skills, and operational data into an L&D Impact & Skills Intelligence layer that shows which learning programs improve workforce capability and business performance. For AI upskilling initiatives, it can identify skill gaps by role and track workforce readiness and actual AI adoption.
Target outcomes:
Computools takes ownership of maintenance, legacy modernization, integration, and support streams that consume the core product team’s capacity. The engagement is measured by how much engineering capacity is returned to strategic roadmap work rather than by the number of developers added.
Target outcomes:
In 60–90 days, Computools builds a funded EdTech MVP with the product and technical foundation required for market validation, future scaling, and technical due diligence, while keeping delivery aligned with startup runway and product priorities.
Target outcomes:
VP of Customer Success in Finance and Education
Computools develops custom SIS platforms that centralize student profiles, enrollment, attendance, schedules, grades, transcripts, and institutional records in one secure system. Our SIS solutions provide structured data governance, role-based access, and API-first interoperability, with AI capabilities supporting analytics, predictive insights, and workflow automation for educational organizations that require long-term scalability.
Computools develops custom EdTech products and platforms that digitize and automate academic and administrative workflows such as admissions processing, program management, timetabling, faculty workload, approvals, and internal reporting. These tailored systems replace fragmented tools, reduce manual effort, and create scalable digital environments that support consistent operations across departments, campuses, and growing education organizations.
Computools creates secure platforms for assessment design, scheduling, grading workflows, rubrics, moderation, audit trails, and high-stakes exam governance. AI-assisted capabilities can support assessment operations and analytics while maintaining appropriate controls, human oversight, and institutional policies. These systems are engineered for reliability under peak loads and consistent exam administration.
We build credential issuance and verification infrastructure for certificates, micro-credentials, qualifications, and professional awards, including fraud-resistant verification workflows. Automation and intelligent validation can simplify credential assessment, reduce administrative overhead, and help institutions introduce scalable digital credentialing models.
Computools provides accessibility and compliance engineering for education platforms that need to meet institutional, regulatory, privacy, and usability requirements. We develop systems for accreditation evidence management, regulatory reporting, audit-ready documentation, access governance, and policy-driven workflows while also helping education organizations incorporate applicable accessibility requirements into digital experiences.
Our team builds secure tuition billing, invoicing, payment reconciliation, scholarship and discount management, and financial reporting platforms that integrate with institutional records and finance systems. These custom solutions improve financial visibility, reduce manual reconciliation, and support more predictable tuition and revenue operations.
We develop education data platforms and real-time dashboards that unify academic, operational, student, and financial data to reveal performance bottlenecks, capacity constraints, retention patterns, and outcome trends. Institutional leaders gain near real-time visibility for resource allocation, program performance, enrollment planning, and strategic decision-making.
Computools provides LMS, SIS, LTI, and API integration services that connect student information systems, learning platforms, credentialing services, identity providers, finance systems, assessment tools, government registries, and other education technologies. We eliminate data silos, standardize information exchange, and build reliable interoperability layers that can scale with institutional growth and new technology partnerships.
Computools provides AI software development for EdTech companies and education organizations, building AI automation tools and task-oriented agents for academic and administrative workflows. Using LLMs, predictive models, and rule-based logic where appropriate, these tailored solutions can automate high-volume tasks, support student services, improve operational decision-making, and reduce manual workload while maintaining governance, explainability, access controls, and human oversight.
Computools helps business leaders find where technology can grow revenue, cut operating costs, or open new products and markets – and which investments to prioritize. We assess your business model, processes, and systems, and turn the opportunities into a costed roadmap with KPIs.
Computools goes beyond AI-assisted coding. Our AI Product Factory redesigns specification, development, testing, and review to deliver working product increments in days, where appropriate. Engineers remain accountable for architecture, security, and releases, helping businesses expand software delivery capacity without proportional growth in engineering teams.
Computools takes operational ownership of agreed business functions, from customer support and client onboarding to payment processing. AI agents handle routine work, our engineers own exceptions and improvements, and performance is reported against the KPIs you approve.
Computools identifies where customers abandon purchases, onboarding, or service requests and redesigns the interactions causing friction. We combine customer journey analysis, behavioral data, and UX design to simplify critical actions, connect digital touchpoints, increase transaction and onboarding completion rates, and reduce avoidable customer support requests.
Computools turns isolated AI initiatives into repeatable operating models. Our AI Value Factory redesigns business workflows to reduce processing time, manual work, and operating costs. Our AI Product Factory accelerates software development from specifications to validated releases. Both combine reusable AI capabilities, shared business knowledge, and human oversight.
Computools modernizes business-critical legacy systems without unnecessary platform replacements. We identify what to retain, refactor, integrate, or migrate, improving architecture, APIs, and data access to support AI adoption and new business capabilities. This reduces technical debt and operational disruption while protecting existing technology investments.
“Computools was selected through an RFP process. They were shortlisted and selected from between 5 other suppliers. Computools has worked thoroughly and timely to solve all security issues and launch as agreed. Their expertise is impressive.”
“Computools has significantly improved our LMS. The team holds regular meetings and provides detailed project reports, keeping us well-informed. We communicate via email, and overall, everything has gone smoothly.”
A US-based B2B SaaS company connected HR, learning, and collaboration systems across a workforce of approximately 3,530 employees. Monthly learning participation increased from 22% to 48%, course authoring time fell from 80 to 24 hours, and new-hire time-to-productivity dropped from 45 to 28 days.
A UK-based multi-campus university group connected three legacy SIS environments, LMS, ERP, IAM, and student services through a phased integration strategy. Uni-Campus reduced academic reporting time by about 60%, cut manual-intervention requests from 65% to 25%, and synchronized cross-campus data in under five minutes.
Since Computools strictly adheres to NDAs with its clients, additional case studies are not publicly available.
Please fill out the contact form, and our experts will respond to your inquiries.
Yes. Computools provides EdTech MVP & app development for startups, established education technology companies, and organizations launching new digital products. We help validate product requirements, user journeys, architecture, integrations, and core functionality before developing a focused MVP or application that can be tested with real users and expanded as adoption grows.
Yes. Computools provides EdTech platform modernization for legacy learning, student management, assessment, credentialing, administration, and education data platforms. Modernization can include architecture upgrades, cloud migration, API enablement, database and infrastructure improvements, UI modernization, security enhancements, and replacement of outdated components.
Where appropriate, we use phased migration and parallel operation strategies to reduce disruption to learners, educators, administrators, integrations, and other business-critical workflows.
Yes. Computools provides EdTech software development outsourcing for companies that need additional engineering capacity, specialized expertise, or a long-term development team. We can provide software engineers, architects, QA specialists, UI/UX designers, data and AI engineers, DevOps professionals, and product roles that work alongside an existing team or take responsibility for defined product workstreams.
Engagement models can support new product development, platform scaling, modernization, integrations, maintenance, and continuous feature delivery.
We engineer EdTech platforms to support applicable FERPA, COPPA, GDPR, accessibility, and data-protection requirements based on the product’s users, markets, data flows, deployment model, and the respective responsibilities of the parties involved.
For products handling education records in the United States, architecture and data controls can be designed around applicable FERPA requirements. EdTech products directed to children under 13, or otherwise subject to COPPA, can incorporate appropriate consent, data collection, privacy, and parental-control workflows. For applicable European operations, GDPR requirements can be addressed through privacy-by-design, access controls, data governance, and lifecycle management.
Accessibility engineering can target WCAG 2.2 Level AA where appropriate, including testable requirements for navigation, authentication, forms, interaction patterns, content presentation, and assistive technology compatibility.
Yes. Computools designs and modernizes EdTech integrations around LTI 1.3 and LTI Advantage for secure interoperability between learning management systems and external education tools. Depending on product requirements, implementations can support services such as Assignment and Grade Services, Names and Role Provisioning Services, and Deep Linking.
For EdTech vendors preparing products for institutional procurement, we can also structure development and testing around applicable 1EdTech specifications and certification requirements to improve LTI certification readiness. Final certification is completed through the applicable 1EdTech certification process.
Computools designs EdTech platforms for growing user volumes, peak enrollment periods, high-stakes assessments, simultaneous learning sessions, large datasets, and multi-institution deployments. Architecture can incorporate scalable cloud infrastructure, distributed services, caching, asynchronous processing, performance monitoring, resilient integrations, and automated testing based on expected usage patterns and operational requirements.
Performance and scalability requirements are defined during architecture planning so the platform can grow without requiring repeated fundamental redesign.
The cost of custom EdTech software development depends primarily on the project scope, including required functionality, integrations, platform architecture, data and migration requirements, security, privacy and accessibility requirements, and overall solution complexity. As a general benchmark, a relatively straightforward EdTech software project delivered within up to 3 months typically costs around $50,000, while more complex education platforms, institutional ecosystems, AI-enabled products, and modernization initiatives require a tailored estimate.
EdTech software development timelines depend on the project scope, architecture, required integrations, data migration needs, security and privacy requirements, accessibility requirements, and amount of custom functionality. A focused MVP, individual module, integration initiative, or relatively straightforward EdTech product can often be delivered within 1–3 months, while larger education platforms, multi-institution ecosystems, AI-enabled solutions, and legacy modernization initiatives may require several months or more. Computools defines the expected timeline and delivery roadmap during the discovery and estimation process.
Computools | 341 Raven Cir, Camden Wyoming, Delaware 19934, US
