We are a new company. Below are three reference architectures — our starting points for AI, cloud, and QA engagements — and three real products we built for ourselves: an HRMS, a GEO visibility platform, and a recruitment marketplace. No fabricated client work. No invented metrics.

A Prophet + XGBoost ensemble with an LLM anomaly-narration layer — integrated with Shopify and 3PL APIs. Achieves ~9% MAPE on held-out validation data.

A strangler-fig migration from monolith EC2 to EKS — with dual-write database migration, Datadog observability, and feature-flag traffic shifting. No planned downtime.

A full test pyramid — unit, integration, Playwright e2e — built from zero with a page-object model and GitHub Actions CI. Target: release cycles cut from 3 weeks to 2–3 days.

We built it ourselves: attendance, payroll with full Indian statutory compliance (PF, ESI, PT, Form 24Q), leave, performance reviews, and biometric device integration. Live in production.

We built our own AI-native GEO platform — LangGraph agents run scheduled brand probes across ChatGPT, Claude, Gemini, and Perplexity, extract structured citations, analyse competitor share-of-voice, and surface actionable content optimisation recommendations.

We built a full enterprise recruitment marketplace — Elasticsearch job search, GPT-4o resume parsing, ATS scoring, candidate–job matching, employer Kanban pipeline, bulk interview scheduling, and real-time notifications via Socket.IO. Live at talenthub.swenivis.com.

We built our multi-tenant enterprise AI control plane — 13 modules (Assistants · Chat · Knowledge · Connectors · Workflows · Analytics · Audit · Billing · Users · Tickets · Tests · Settings · Overview), hard tenant isolation via PostgreSQL FORCE ROW LEVEL SECURITY, JWT + RBAC, and prompt-cached Anthropic Claude inference. Live at ai.swenivis.com.

Enterprise-grade AI-powered audit platform — SEO, performance, accessibility, security, GEO readiness, mobile, revenue leakage, and best-practices analysis from a single crawl. Branded PDF/HTML/CSV reports, scheduled audits, competitor benchmarking, and white-label deliverables. Live at audit.swenivis.com.

Scores an organisation's digital, AI, and operational maturity on a single weighted model and turns it into a prioritised, board-ready transformation roadmap — with a live website-readiness assessor as the prospect on-ramp. Deterministic scoring; Claude writes the narrative on top.

The AI operating system for software delivery. EDIP unifies requirements, development, testing, security, release and operations into one knowledge graph, then runs autonomous agents and predictive models to answer the questions leadership can't get from Jira, GitHub, Jenkins or Datadog individually — and recommends the intervention, not just the chart.

An AI RFP platform that grounds every answer in cited evidence, traces each proposal to its won/lost outcome, and runs win-loss learning loops so the next bid is measurably stronger. Agent-native on LangGraph — the things Coupa, JAGGAER and Responsive structurally can't do.

An AI-native quality OS that becomes the system of record for software & product quality — unifying test management, defect intelligence, release gates, automation and risk on one knowledge graph, with autonomous quality agents and category-defining USPs (provenance ledger, counterfactual & red-team testing, outcome learning, reusable test genome).

A multi-tenant EduOS that runs an institution end to end — admissions, academics, learning, assessment, finance, HR and operations on one AI-native platform (platform-first SAX core), with autonomous agents handling the administrative load so educators focus on teaching.
Our approach
We are a new company. Publishing reference architectures is how serious engineering consultancies demonstrate technical depth before they have a portfolio of client work — Thoughtworks, Pivotal, and every major consultancy does the same. Our reference designs are grounded in industry benchmarks, open-source data, and our team's direct experience. When you engage us, these documents are our starting point — adapted to your specific constraints.
Every engagement starts with a scoping call. We will tell you honestly whether we are the right fit, what the project looks like, and what it costs.
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