Case Studies

Damsol was launching a crypto application for Indian users but lacked the in-house AWS expertise to host and run it reliably.

Re-architected the backend to be fully AWS-compatible

Backend successfully made AWS-compatible and deployed

Scratchie needed a partner to take full ownership of its cloud servers and DevOps so the founding team could focus on the product.

Managed Scratchie's complete AWS server infrastructure (EC2, RDS, Route 53, VPC)

End-to-end server and DevOps ownership handled by Techtweek

Builderpad wanted to streamline its development and release process to ship features faster.

Introduced DevOps practices and automation across the delivery pipeline

Streamlined development processes — described by the CEO as a game-changer

CapiFin was processing 3,200 personal loan applications per month entirely manually — document collection, CIBIL pulls, eligibility calculation, and LOS data entry consuming 14 FTE-days per month. Month-end backlogs regularly hit 400+ applications, pushing approval TAT to 5–7 days and triggering borrower drop-off.

Deployed an unattended UiPath bot fleet on AWS EC2 with Terraform-managed auto-scaling — 2 instances off-peak, scaling to 8 during month-end surge

75% reduction in loan processing TAT — from 5–7 days to under 6 hours for standard applications

Go Inspect's building-inspection app on AWS was running up high costs — and a security issue had caused AWS to temporarily disable their instance.

Rectified the security issues that had triggered the AWS instance suspension

Security issues resolved quickly and the instance restored

As a credit-repair platform handling highly sensitive financial data, The Credit Pros needed continuous assurance that customer data stayed protected — without slowing the product down.

Ran thorough security assessments across the AWS estate (Aurora, RDS, CloudFront, EC2)

A proactive security posture — issues surfaced early, not after the fact

A subscription-payments platform can't afford downtime or slow, risky releases — every deploy touches revenue.

Brought DevOps automation to the software delivery lifecycle

A more agile delivery lifecycle

MedAssist was manually processing 1,800 insurance claims and 600 prior authorization requests per month across three insurer portals — each with a different UI, different data formats, and different submission rules. Average claim processing time was 22 minutes. A team of 11 was spending 80% of their time on data entry and portal navigation, with a 6.2% error rate triggering claim rejections and rework.

Built a hybrid Power Automate solution within MedAssist's existing Microsoft 365 tenant — unattended bots for standard claims, attended assist mode for complex or disputed cases

87% straight-through processing rate — 1,566 of 1,800 monthly claims handled end-to-end without human intervention

SocialEyes needed its systems to stay secure and compliant as it scaled — without a full in-house security team.

Stood up ongoing information-security management

Systems kept secure and compliant

An AI platform shipping constantly needs Kubernetes that behaves the same on every cluster and every cloud — without a platform team burning out on cluster babysitting.

Operated production Kubernetes with GitOps-driven deployments — every change versioned, reviewable, and revertible

Deployments became routine instead of events

A finance product can't afford snowflake environments. Pectus needed infrastructure that any engineer could reason about, reproduce, and audit — on any cloud the business chooses.

Captured the full estate as Terraform — no console-clicked resources left behind

Cloud-agnostic infrastructure-as-code — the estate is portable by construction

A German IT services firm answers to clients who ask hard questions about data residency and security posture. Biene IT needed a partner who treats European hosting and information security as one problem, not two.

Ran information-security operations with proactive, preventative controls

A security posture Biene IT can put in front of its own clients

An early-stage proptech needs startup economics — infrastructure that costs hundreds, not thousands, a month — without giving up monitoring, backups and a real deployment pipeline.

Right-sized the stack on DigitalOcean for startup-stage costs with production-grade discipline

Infrastructure costs matched to startup runway

Nexgen was onboarding 200+ engineers per year across 8 systems — Active Directory, GSuite, Jira, GitHub, Slack, VPN, the internal project tool, and a client access portal. Manual IT provisioning took 6–8 hours per new joiner, was error-prone (wrong group permissions on 1 in 5 joiners), and caused first-day delays that damaged new hire experience and delayed project allocation by an average of 1.8 days.

Built an unattended Blue Prism bot triggered by a webhook from the Keka HRMS on offer-letter acceptance — fully automated before the employee's first day

Onboarding provisioning time reduced from 6–8 hours to 18 minutes — a 96% reduction