PTF-000 · Regulated Outcomes Register
Each entry in this register represents a complete engagement — from loose component state through assembly, testing and regulation to a delivered mechanism running accurately for the client. Outcomes are documented against the original calibre specification.
PTF-FEAT · Featured Mechanism
A UK-based financial services platform operating across consumer lending and savings products was releasing to production on an eleven-day average cycle. Six environments across AWS, Azure and co-located on-premise infrastructure were managed manually, with deployment gates operated by two senior engineers on a rotation. The risk of a failed release was sufficient to require board-level sign-off for production pushes above a defined change size.
SOFTVYN conducted a four-day technical assessment of the existing pipeline, identified eighteen specific tolerance failures and proposed a phased assembly programme spanning twelve weeks. We implemented GitHub Actions as the orchestration layer, Terraform for environment management, automated security scanning via Snyk, and a structured approval framework that eliminated the manual gate dependency without reducing compliance control.
A retail technology group operating five on-premise data centres needed to migrate to cloud ahead of a planned data centre lease expiry. Three years of deferred migration planning had produced a complex interdependency map and significant concern about downtime risk during the transition.
SOFTVYN conducted a full component audit, produced an interdependency matrix and designed a phased migration programme using the AWS Well-Architected Framework. The programme ran across seventeen weeks with zero unplanned downtime. Auto-scaling groups replaced fixed-capacity provisioning, reducing over-provisioning waste by 62% on day one of full cloud operation.
62%
Infrastructure cost reduction
0
Unplanned downtime incidents
17 wks
Full migration timeline
A growth-stage SaaS company needed to build an ML-powered operations platform to differentiate their monitoring product. The ML capability needed to integrate with existing data ingestion pipelines and produce accurate anomaly detection and predictive alerting with explainable outputs.
SOFTVYN assembled the ML training pipeline using Python and PyTorch, designed a feature store on AWS, built a real-time inference service behind a FastAPI layer and implemented model performance monitoring with automated retraining triggers. The entire assembly including staging, testing and production deployment was completed in nine weeks.
78%
Incident response time reduction
94%
Anomaly detection accuracy
A UK manufacturing business with international operations was operating fourteen disconnected internal systems. Sales, operations, logistics, finance and HR all held separate data records with no automated synchronisation. Manual reconciliation consumed approximately forty person-hours per week and produced regular data discrepancies that affected customer-facing operations.
SOFTVYN designed an event-driven integration architecture using Apache Kafka as the orchestration backbone. Each system was connected via a standardised adapter layer with full error handling, retry logic, audit logging and alerting. Real-time synchronisation across all fourteen systems was achieved with a data consistency rate exceeding 99.8%.
14
Systems unified
40 hrs
Weekly manual work eliminated
99.8%
Data consistency rate
A digital health platform requiring ISO 27001 and NHS DSP Toolkit compliance needed a development pipeline that enforced security and compliance controls at every stage without creating unacceptable delivery overhead for the engineering team.
SOFTVYN designed and implemented a DevSecOps pipeline with automated SAST, dependency scanning, container image scanning, secret detection and infrastructure compliance checks integrated directly into the CI/CD flow. Compliance evidence was generated automatically as a pipeline artefact, reducing audit preparation from three weeks to four hours.
3 wks → 4 hrs
Audit preparation time
ISO 27001
Compliance maintained
A logistics technology company scaling rapidly from fifty to four hundred enterprise clients needed to move from a monolithic application deployment to a microservices architecture on Kubernetes to support their growth trajectory without re-platforming their existing codebase.
SOFTVYN designed and deployed a production AKS cluster with Istio service mesh, Helm-based deployment management, Karpenter auto-scaling, Prometheus and Grafana observability stack and a regulated upgrade procedure. The platform was designed to support a tenfold increase in concurrent active clients without architectural change.
10×
Client capacity headroom built in
99.99%
Platform SLA post-deployment
A UK professional services firm was producing monthly client reports manually from spreadsheets sourced across six data systems. The process took four days per report, introduced calculation errors at an estimated rate of one per eight reports and provided data that was fourteen days stale by the time it reached clients.
SOFTVYN assembled a custom analytics platform that ingested data from all six source systems, applied the firm's standard calculation logic, and produced formatted client reports automatically on a scheduled and on-demand basis. Report generation time dropped from four days to eleven minutes. Data freshness moved from fourteen days to under four hours.
4 days → 11 min
Report generation time
0
Calculation errors since deployment
PTF-NOTE · Outcome Register Note
The outcomes in this register are presented with client permission and in accordance with our standard confidentiality arrangements. Client names, specific financial figures and commercially sensitive technical details have been generalised where required by the terms of our engagement agreements.
All regulated outcome metrics — performance improvements, cost reductions, timeline data and quality measurements — are drawn from post-delivery review documentation agreed with the relevant client. We do not include estimated or projected outcomes in this register. Every figure represents a measured result from a completed mechanism.
For clients evaluating SOFTVYN for an engagement, reference calls with relevant completed-project clients can be arranged subject to the original client's consent and our confidentiality obligations. This request should be included in the calibration request form.
Request a Reference CallOutcome Register Metrics
0+
Completed engagements since founding
0%
Delivery against agreed specification
0
Industry sectors served
CTA-PTF · Calibration Request
If you have a system that needs to be assembled, a pipeline that needs to be regulated or an architecture that needs to be rebuilt to calibre, submit a calibration request and we will respond within one business day.
No obligation · Fixed-price proposals where scope allows · Harrow, UK
