Success Stories

Real Results & Impact.

See how we've partnered with industry leaders to deliver transformative solutions and measurable business outcomes.

Cloud MigrationOctober 7, 2026

SaaS Cloud Migration: Scalability, Security, and Uptime

Client: aeliusventure

The company experienced a number of technological and operational problems, making growth difficult. - Scalability limitations: During seasonal traffic spikes, the platform was unable to swiftly add computing power. - Slow performance: When multiple users used the system at the same time, the reporting and dashboard functionalities slowed down. - Security concerns: Access controls, server patching, and data encryption were partially handled manually. - Downtime risk: A single infrastructure failure could affect several client accounts. - Heavy operational workload: Rather than improving the product, developers and IT workers focused on infrastructure duties. - Limited catastrophe recovery: Backup and recovery procedures were not fully automated or verified on a regular basis. These challenges demonstrated the evident requirement for an organised SaaS cloud migration approach. A successful migration requires careful planning, security evaluation, staggered execution, and post-migration monitoring. ...

technology

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crmSeptember 30, 2026

How Custom CRM + ERP Reduced D2C Manual Errors by $30,000 Per Month

Client: aeliusventure

The brand had expanded rapidly, but its back office had not kept pace. Orders came in through three channels and were processed using five disparate tools: Shopify, Google Sheets for inventory, WhatsApp for customer enquiries, Tally for accounts, and a courier interface for shipment. Nobody set out to create a disorganised system. It developed one workaround at a time. When we audited the business for two weeks, we discovered problems clustered in four places: Inventory mismatches. The stock was manually updated at the end of each day. On busier days, the website continued to sell things that were already out of stock. Approximately 4% of purchases were oversold, resulting in cancellations, apologies calls, and reimbursements. Order input errors. Amazon and Instagram orders were re-entered into the shipping portal. Wrong pin codes, transposed phone numbers, and incorrect SKUs resulted in failed deliveries and RTOs. Payment reconciliation gaps. COD remittances from couriers rarely matched order data. The accounts team spent nearly a week per month chasing discrepancies, and some short payments were never collected. Customer context was lost. Support agents were unaware of order history. Customers repeated themselves, reimbursements were granted twice, and repeat buyers did not receive any follow-up. The originator evaluated the monthly damage by adding it all together. Our analysis revealed a yearly leakage of almost ₹25 lakh, or nearly $30,000 per month, including refunds, reshipping charges, RTO losses, unrecovered COD shortages, and staff hours spent addressing mistakes. The founder's statements at the kickoff call: "We're not losing money because sales are down. We're losing it in the spaces between our tools." ...

technology

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AI Recruitment September 23, 2026

AI Recruitment Platform Case Study | Aelius Venture

Client: aeliusventure

This tool was designed for recruitment teams who lacked structure, not effort. As application quantities increased, a few reoccurring concerns arose: - CVs were manually screened, one at a time, with no consistent grading approach across recruiters. - Candidate data was dispersed throughout spreadsheets, inboxes, and other technologies, making it difficult to obtain a single perspective of the process. - Shortlisting judgements changed based on who assessed the applications that day. - Recruiters spent hours on repetitious duties such as resume parsing, initial outreach, and progress updates, which brought little strategic value. - Hiring managers had limited visibility into where candidates were in the process. Neither of these issues was unusual. These are the same friction areas that most developing recruitment teams face. What made this project worthwhile was that the team desired a solution that corrected the workflow rather than simply adding an "AI feature" to an already dysfunctional process. ...

technology

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ITSeptember 15, 2026

How Aelius Venture Reduced Enterprise IT Risk By Half

Client: Aeliusventure

On the surface, the client's problem appeared to be a performance issue with the support desk: delayed ticket resolution, mounting backlogs, and dissatisfied workers. However, Aelius Venture's discovery approach revealed a more serious diagnosis: systemic business IT risk baked into day-to-day operations. Three risk factors stand out: - Privilege creeps across the institution: Because access grants and revocations were handled manually, personnel frequently held elevated system permissions after a project finished or a role changed. Nobody took responsibility for walking that access back. This issue is one of the most common — and often underestimated — causes of enterprise IT risk in medium-sized and large businesses. - Incomplete identification verification: Requests for access to AWS, Azure AD, Okta, internal SaaS tools, and infrastructure systems were inconsistently confirmed, frequently relying on email threads or Slack messages rather than real-time checks against identity provider information. This resulted in a gap-filled audit trail, which posed a compliance and security risk rather than just an efficiency issue. - Manual processes represent a single point of failure: With IT engineers routinely context-switching across five to ten administrative portals to execute regular access modifications, human error was not an option; it was a statistical inevitability. Every manual touchpoint allowed enterprise IT risk to discreetly enter the system. In short, the client wasn't simply wasting time. They were building risk exposure with each manually processed ticket. ...

Technology

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AI Recruitment PlatformSeptember 8, 2026

AI Recruitment Platform Case Study: Delivering 10,000 Job Matches Per Day

Client: Aelisuventure

The client maintained a recruiting marketplace that connected job seekers with businesses from various industries. As demand increased, their method fell down in predictable ways. - Recruiters manually evaluated resumes, taking hours per role. - Matching depended on keyword searches, which excluded qualified applicants while surfacing irrelevant ones. - Time-to-fill increased when job volume exceeded the team's capacity. - Candidate experience worsened as responses took days rather than minutes. The main issue was not a lack of data. The customer received thousands of resumes and job listings every day. The problem was that no method existed to convert the data into quick, precise matches. Leadership need a platform capable of handling high-volume matching without the need to hire a large number of recruiters. That means redesigning the entire matching engine rather than simply adding automation to existing procedures. ...

technology

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React NativeAugust 18, 2026

How We Launched a React Native App for a US Healthcare Startup in 11 Weeks—On Time and Under Budget

Client: aeliusventure

Our client, a telehealth firm aimed at chronic-care patients, had previously spent a portion of their seed capital on a previous development attempt that failed. Their initial team had decided on separate native codebases for iOS and Android, and six months later, they had two half-finished apps, a growing backlog, and a board that was losing patience. They approached us with three hard constraints: 1. A specified 11-week deadline. The firm had a demo arranged with a group of healthcare investors and wanted a working app, not a prototype, by that date. 2. A fixed budget. There was no opportunity for scope creep or the high expenses associated with maintaining two native codebases concurrently. 3. Stringent compliance standards. As a healthcare app that stores, transmits, and accesses patient data, the product had to meet HIPAA criteria from the start. On top of these limitations, the fundamental product was ambitious. The application needed to support: - Ensure safe patient onboarding and identification verification - Video consultations with licensed providers. - Appointment scheduling and reminders. - Encrypted communication among patients and care teams - Integration with a third-party electronic health record (EHR) system - Push notification for medicine and follow-up reminders. Building and maintaining two independent native apps on this scale, timing, and budget was simply unfeasible. The startup required a solution to create once and deploy globally while maintaining performance and compliance. ...

technology

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