Frequently Asked Questions &
Architectural Answers

We offer web development, mobile app development, cloud & DevOps, UI/UX design, AI & automation, and IT consulting services.

Timelines vary by scope — a simple website may take 3-4 weeks, while a full product build can take 3-6 months. We provide a detailed estimate after the discovery call.

Sibiri Innovation is a premier software engineering and IT consulting firm specializing in high-concurrency custom software, cloud-native backend architectures (PHP Laravel, Python, Java Spring Boot), cross-platform mobile apps (React Native), and production-grade Enterprise AI systems (LLMs, Retrieval-Augmented Generation, and Autonomous Multi-Agent Workflows).

Yes, we offer maintenance and support packages after launch, including monitoring, bug fixes and feature updates.

Our corporate headquarters and primary engineering center are located in Kolkata, West Bengal, India (CIN: U62013WB2024OPC274112), with distributed technical consultants supporting enterprise clients across North America, Europe, the United Kingdom, and the Asia-Pacific region.

Yes, our team is experienced across multiple stacks and can integrate with or extend your existing systems.

We assign dedicated Technical Account Leads and Senior Scrum Masters who maintain daily synchronous overlap windows (4-6 hours) with your local business hours (EST, PST, GMT, CET), supported by asynchronous Slack/Teams channels, Jira/Linear sprint boards, and weekly live architectural demo sessions.

Fill out the contact form or book a free consultation, and our team will get back to you within one business day.

Yes. We have publicly documented case studies across Retail (Nordic Fashion Group), Healthcare (Apollo Health), Logistics (Continental Freightways), and FinTech (Apex Horizon Capital). For prospective enterprise clients, we can facilitate direct peer-to-peer reference calls with our client CTOs upon NDA execution.

Over the past 5 years, Sibiri Innovation has maintained a 100% on-time milestone delivery rate across 45+ enterprise production deployments, supported by rigorous Agile sprint estimation and transparent weekly velocity reporting.

You can explore our Technology Insights Hub (/technology-insights) for stack-by-stack architectural breakdowns (Laravel, MERN, Spring Boot, Django, Kafka, RAG, LangGraph) and our Blog & Knowledge Hub (/blog) for technical guides, company events, and case study breakdowns.

Yes. Our senior architects conduct 1-on-1 and team-wide architectural workshops covering High-Concurrency Microservices, Vector Database Design for RAG, Zero-Downtime Blue/Green Migrations, and LangGraph Agentic Workflows.

Laravel 11 provides a battle-tested, highly elegant foundation with first-class support for asynchronous queue processing (Redis Horizon), database sharding, event-driven broadcasting (WebSockets), and robust authentication. When properly architected with Redis caching and Galera/Aurora clusters, Laravel comfortably processes 100,000+ concurrent requests with sub-100ms response times.

We implement the Strangler Fig architectural pattern. Instead of a risky "big bang" rewrite, we place an intelligent API Gateway (Kong or AWS API Gateway) in front of your legacy monolithic backend. We gradually extract high-load modules (such as checkout, search, or reporting) into isolated microservices until the legacy core is safely decommissioned with 0 seconds of unplanned downtime.

Yes. We support multi-tenant architectures utilizing either schema-per-tenant, database-per-tenant, or tenant-scoped column partitioning with Row-Level Security (RLS) in PostgreSQL and MySQL. Every tenant query is cryptographically and logically isolated with automated tenant identification middleware.

Our engineering choices are dictated by scalability, throughput, and domain requirements: • PHP Laravel 11: Our premier framework for rapid enterprise delivery, SaaS platforms, and business automation. With Octane (Swoole/RoadRunner), Laravel achieves blazing 10k+ req/sec performance with unmatched developer velocity and robust ecosystem tooling. • Java 21 with Spring Boot 3: Selected for mission-critical core banking, large-scale telematics, and heavy concurrent distributed transactions requiring high-throughput virtual threads (Project Loom) and multi-region microservices. • Python with Django & FastAPI: Utilized when machine learning pipelines, asynchronous data analysis, or deep AI integrations (LangChain, PyTorch, pandas) are central to the backend application.

MariaDB provides enterprise-grade ACID compliance, advanced query optimization, and thread-pool concurrency handling superior to standard relational alternatives under heavy load. Combined with Redis in-memory caching and Redis Sentinel/Cluster for distributed session management, rate limiting, and pub/sub messaging, we consistently achieve sub-50ms database response times and 99.99% system availability even during Black Friday and flash-traffic spikes of 100,000+ concurrent requests.

Yes. For corporate knowledge bases, documentation hubs, and media portals, we architect hardened open-source solutions including WordPress (headless with Next.js or monolithic with custom PHP OOP plugins and Bedrock) as well as open-source wiki systems (MediaWiki, BookStack, Wiki.js). We harden these platforms with Redis object caching, Cloudflare WAF integration, SSO/SAML2 identity federation (Okta, Azure AD), automated daily encrypted off-site backups, and strict role-based permission matrices.

We specialize primarily in React Native and Flutter for cross-platform efficiency, allowing clients to deploy 95%+ shared business logic to both Apple App Store and Google Play Store while retaining native 60fps animations, hardware biometric security (FaceID/TouchID), and local SQLite/WatermelonDB offline sync. For specialized low-level hardware requirements, we also build native Swift and Kotlin modules.

We build offline-first data architectures using local embedded databases (WatermelonDB or Realm) with automated Conflict-Free Replicated Data Types (CRDT) and timestamped delta sync pipelines. When network connectivity is restored, mutations are safely replayed and reconciled against backend APIs.

We deploy React 19, Next.js, Vue 3, and lightweight Vanilla JS / Alpine.js tailored to the project's SEO and latency requirements. Every interface is styled with customized, responsive CSS with zero bloated dependencies, sub-second Core Web Vitals (LCP < 1.2s, FID < 50ms, CLS = 0), and full dark-mode / accessibility compliance (WCAG 2.1 AA).

We engineer modular, high-throughput web applications using modern TypeScript architectures. For frontend rendering, we implement Next.js (App Router with Server Components and SSR/SSG) to achieve sub-second LCP and maximum SEO performance. For backend architectures, we deploy NestJS enterprise microservices with dependency injection, OpenAPI documentation, and asynchronous event queues (RabbitMQ/BullMQ). When building MERN (MongoDB, Express, React, Node) or MEAN (MongoDB, Express, Angular, Node) stacks, we enforce strict domain-driven design (DDD), JWT/OAuth2 role-based access control, and Redis query caching for ultra-responsive user experiences.

We engineer a multi-stage grounding pipeline: (1) Dense vector retrieval via Qdrant/Pinecone combined with BM25 sparse keyword search, (2) Cross-encoder re-ranking (Cohere) to isolate top-K source chunks, (3) System prompts enforcing strict source citation, and (4) Structured JSON schema validation with Pydantic guardrails. If confidence is below threshold, the bot transparently defers to human operators.

Simple wrappers execute one-shot prompt-and-response calls. Sibiri's Agentic AI systems utilize stateful cyclic graphs (LangGraph) and multi-agent collaboration frameworks (CrewAI, AutoGen). Specialized agents (e.g. Code Reviewer, Security Auditor, Test Runner) autonomously execute tasks, self-correct errors in a sandbox, review each other's work, and output verified results.

Absolutely. For clients with strict data sovereignty and privacy mandates, we deploy open-weight foundation models (such as Llama 3.3, DeepSeek R1, Mistral Large, or Qwen 2.5) on self-hosted vLLM or Ollama instances with dedicated GPU clusters (NVIDIA H100/A100) running inside your own VPC or on-premise data center. Zero data leaves your firewall.

We configure automated LLM evaluation suites (Ragas, TruLens, DeepEval) that continuously track Faithfulness, Answer Relevance, Context Recall, and Semantic Drift against synthetic golden evaluation datasets on every model update.

We move beyond basic prompt-engineering into autonomous, deterministic agentic systems. Using LangGraph and LangChain, we design stateful multi-agent architectures where specialized AI agents collaborate with human-in-the-loop controls, self-correction loops, and tool execution (SQL query synthesis, API execution, document OCR). For RAG (Retrieval-Augmented Generation), we implement hybrid semantic search combining dense vector embeddings (OpenAI text-embedding-3, Cohere) stored in Qdrant or Milvus with BM25 sparse keyword ranking, reciprocal rank fusion (RRF), and cross-encoder re-ranking to guarantee zero hallucinations and audited citation verification.

Our floating interactive AI Assistant (located at the bottom-right of your screen) is wired directly into Sibiri Innovation's knowledge engine and FAQ database. You can ask it technical questions about our tech stacks (Laravel, MariaDB, LangGraph, Kafka), request architecture comparisons, inquire about pricing models, or seek recommendations for your project constraints. It answers instantly in real-time and can directly connect you with our lead systems architects.

We are cloud-agnostic with certified architects across Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and bare-metal hybrid clouds (Hetzner, OVH). We manage infrastructure entirely as code using Terraform and OpenTofu.

We implement Blue/Green and Canary deployment pipelines using Docker containers orchestrated by Kubernetes (EKS/GKE) or AWS ECS. During deployments, health checks verify the new container fleet before the Application Load Balancer seamlessly shifts live incoming traffic, allowing instant rollback in milliseconds if any anomaly is detected.

Yes. We deploy comprehensive observability stacks using Prometheus, Grafana, OpenTelemetry, Datadog, or AWS CloudWatch. We establish real-time alerts for error budget exhaustion, p99 latency spikes, database connection pool saturation, and automated pager duty escalations.

We enforce strict regulatory compliance architectures: (1) Data-in-transit encryption with TLS 1.3, (2) Data-at-rest encryption with AES-256 and customer-managed KMS keys, (3) Role-Based Access Control (RBAC) with immutable audit logs, (4) Automated Data Processing Addendums (DPA), and (5) Segregated VPC networks with AWS GovCloud / EU sovereign regions.

Yes. Every release passes through automated Static Application Security Testing (SAST via SonarQube), Dynamic Security Testing (DAST via OWASP ZAP), Dependency Vulnerability Scanning (Snyk / Trivy), and periodic third-party penetration audits before production deployment.

We configure automated point-in-time recovery (PITR) with continuous write-ahead logging (WAL) and geo-replicated daily snapshots stored in encrypted S3/GCS buckets across independent geographical regions, achieving an RPO (Recovery Point Objective) < 5 minutes and RTO (Recovery Time Objective) < 15 minutes.

We offer three flexible engagement models: (1) Dedicated Engineering Squads (monthly retained senior engineers, architects, and QA scaling with your roadmap), (2) Fixed-Scope Milestone Contracts (guaranteed timeline, deliverables, and fixed budget for defined MVPs/projects), and (3) Strategic Architectural Advisory & Code Audits (hourly or sprint-based reviews).

You own 100% of all intellectual property, source code, design assets, database schemas, and documentation from day one. Full transfer of IP rights is legally codified in our Master Services Agreement (MSA) upon milestone completion.

We provide 30 to 90 days of complimentary post-launch warranty support with every project. Following warranty, clients can transition to our 24/7 Managed SLA Retainer which includes proactive security patching, database optimization, OS updates, and guaranteed 15-minute response times for critical P1 incidents.

Following initial technical discovery and contract sign-off, our dedicated engineering leads can stand up development environments, repository CI/CD pipelines, and begin Sprint 0 within 5 to 7 business days.

We provide four modular enterprise platforms: (1) Sibiri ERP Platform (multi-tenant ledger, inventory, supply chain, and invoicing), (2) Sibiri CRM Platform (omnichannel lead management, pipeline analytics, and email/WhatsApp automation), (3) Sibiri HR Management Suite (payroll, attendance, performance reviews, and employee lifecycle), and (4) Sibiri Project Management Command (sprint tracking, resource allocation, and milestone billing).

Yes. All Sibiri products can be licensed either as fully-managed Multi-Tenant SaaS or as White-Label On-Premise deployments hosted inside your own AWS/Azure VPC with customized domain names, corporate branding, custom API integrations, and custom workflow rules.

Sibiri ERP features pre-built bidirectional REST and webhook connectors for Stripe, Razorpay, PayPal, QuickBooks, Xero, SAP, and OpenBanking ISO 20022 protocols for automated reconciliation.