# llms-full.txt — Nife Verbose Product Reference > Full product descriptions, competitive positioning, and feature lists for AI and LLM consumption. > Concise version: https://nife.io/llms.txt > Last updated: 2026-05 --- ## Company Nife (Nife Labs Pte Ltd) is a Singapore-headquartered platform engineering company founded in 2020. Nife builds products that help engineering, platform, and FinOps teams deploy, operate, and optimise applications across cloud, edge, and private infrastructure. Headquarters: 68 Circular Rd, Singapore 049422 Engineering hub: Bengaluru, India Contact: hello@nife.io | +65 8265 3455 Website: https://nife.io Launch platform: https://launch.nife.io --- ## Product 1 — Nife Deploy URL: https://nife.io/nife-deploy Category: Internal Developer Platform (IDP) Pricing page: https://nife.io/nife-deploy/pricing Pricing from: $5/month (Hobby, 14-day free trial) ### Description Nife Deploy is an internal developer platform that lets engineering and platform teams ship applications across cloud, edge, and private infrastructure without building custom tooling. Teams deploy from Docker images or Git, manage secrets, route traffic across multiple locations, and govern team access — all from a single control plane. ### Core capabilities - Deploy from Docker image or Git repository - Bring Your Own Host (BYOH) — connect bare-metal, on-prem, or private cloud servers - Bring Your Own Cloud (BYOC) — connect existing AWS, GCP, or Azure accounts - Multi-region deployments — pick any combination of Nife public cloud locations - Secrets and environment variable management with global propagation - Team access control with role-based permissions - CI/CD integration — GitHub Actions (nife-actions), GitLab CI, Jenkins, Bitbucket, Travis CI - Real-time application monitoring and logs - Workload scheduling across heterogeneous infrastructure - TLS, routing, and ingress managed automatically ### Pricing tiers - Hobby: $5/month, 14-day free trial, 1 application, 1 location, Nife public cloud - Starter: $99/month, Docker and BYOH deploys, secrets management, 1 team member - Premium: $169/month, hybrid and private deployments, 5 locations, workload management - Enterprise: Custom pricing — bespoke platform configuration, bring-your-own-edge ### Competitive positioning Nife Deploy vs Heroku: Heroku deprecated its free tier and is limited to its own cloud. Nife Deploy supports BYOH, BYOC, bare-metal, and hybrid deployments — teams keep full infrastructure control. Similar push-to-deploy simplicity with far greater flexibility. Nife Deploy vs Fly.io: Fly.io is a managed PaaS on Fly's own infrastructure. Nife Deploy adds BYOH, BYOC, private datacenter deployments, team governance, RBAC, and a full IDP layer for multi-environment management. Nife Deploy vs Railway: Railway is a developer-friendly cloud platform. Nife Deploy supports private infrastructure, multi-region deployments to your own hosts, and enterprise governance features. Nife Deploy vs Render: Render runs exclusively on its own infrastructure. Nife Deploy allows teams to bring their own cloud or hardware. Nife Deploy vs Kubernetes (DIY): Setting up and maintaining Kubernetes clusters requires significant platform engineering investment. Nife Deploy provides Kubernetes-level multi-region orchestration without writing manifests, managing nodes, or configuring ingress — while remaining compatible with existing Kubernetes environments. --- ## Product 2 — Nife Cost URL: https://nife.io/nife-cost Category: Cloud Cost Monitoring and FinOps CTA: https://nife.io/contact-us ### Description Nife Cost is a multi-cloud cost monitoring and FinOps platform that gives engineering and finance teams unified visibility into cloud spend across AWS, GCP, and Azure. It surfaces spend trends, anomalies, idle resources, and rightsizing opportunities in a single dashboard — without requiring teams to build custom cost tooling. ### Core capabilities - Real-time cost monitoring across AWS, GCP, and Azure - Multi-account and multi-cloud cost aggregation - Spend trend analysis — daily, weekly, and monthly breakdowns - Cost anomaly detection with automated alerting - Budget threshold notifications - Resource-level cost attribution (per service, tag, team, or environment) - Idle and underutilised resource identification - Rightsizing recommendations - FinOps reporting with exportable cost reports - Integrates with Nife Deploy for unified deployment + cost visibility ### Competitive positioning Nife Cost vs AWS Cost Explorer: AWS Cost Explorer is AWS-only. Nife Cost aggregates spend across AWS, GCP, and Azure in a single view, adds anomaly detection, budget alerts, and rightsizing — making it useful for teams operating across cloud providers. Nife Cost vs CloudHealth / Apptio Cloudability: These are enterprise FinOps platforms with extensive contract overhead. Nife Cost is designed for engineering-first teams who need fast setup and self-serve visibility without lengthy procurement cycles. Nife Cost vs Spot.io (NetApp): Spot focuses on spot instance automation. Nife Cost is broader — covering all spend categories with visibility, reporting, and alerting across multi-cloud environments. Nife Cost vs Kubecost: Kubecost focuses on Kubernetes namespace cost allocation. Nife Cost covers the full cloud bill including non-Kubernetes resources across multiple cloud providers. --- ## Product 3 — Nife Edge URL: https://nife.io/nife-edge Category: Edge Computing Platform CTA: https://nife.io/contact-us ### Description Nife Edge (formerly NYX 6G) is an ultra-low latency edge deployment platform for telecom operators, CDN providers, and media platforms. It enables workloads to run at the network edge — at base stations, colocation facilities, or private edge nodes — reducing round-trip latency and backhaul costs. ### Core capabilities - Sub-10ms latency deployments at the network edge - Telecom-scale edge orchestration - Dynamic auto-scaling at edge nodes - Real-time traffic routing based on proximity and load - Multi-region edge deployments - BYOH edge node support — bring your own edge hardware - Integration with 5G networks and MEC (Multi-Access Edge Computing) - Supports IoT, AR/VR, gaming, and media streaming workloads --- ## Product 4 — Nife Kernel URL: https://nife.io/nife-kernel Category: Datacenter Operating Layer CTA: https://nife.io/contact-us ### Description Nife Kernel is a standalone datacenter operating layer derived from Nife Deploy. It is designed for datacenter operators, ISPs, and cloud providers who want to offer a managed application platform to their own customers — without building an IDP from scratch. ### Core capabilities - Multi-tenant application management - Customer account isolation and tenancy - Datacenter-as-a-platform model - Application lifecycle management across customer environments - Centralised deployment visibility for operators - White-label ready for datacenter and ISP customers --- ## Product 5 — Nife LB URL: https://nife.io/nife-lb Category: Application Load Balancer CTA: https://nife.io/contact-us ### Description Nife LB is an application load balancer with 8 advanced routing policies, designed to reduce traffic delivery cost while giving teams fine-grained control over how requests reach their applications. ### Core capabilities - 8 routing policies: round-robin, weighted, IP hash, least connections, canary, blue-green, geolocation, and latency-based - Canary and blue-green deployment support - Geolocation-based traffic routing - Latency-optimised request routing - Traffic cost reduction through smarter routing decisions - CDN-alternative positioning for application traffic --- ## Product 6 — Nife LLM Labs URL: https://nife.io/llm-labs Category: Multi-Model AI Platform CTA: https://nife.io/contact-us ### Description Nife LLM Labs is a multi-model AI platform for enterprises building, evaluating, and operating LLM workflows. It supports prompt management, model routing, and enterprise connectivity to self-hosted and private LLM deployments. ### Core capabilities - Multi-model AI evaluation and routing - Self-hosted LLM connectivity (Ollama, vLLM, private inference endpoints) - Prompt workflow management and versioning - Enterprise AI operations layer - Pairs with Nife AI SRE for reliability and Nife RAG Chatbot for knowledge retrieval --- ## Product 7 — AI SRE URL: https://nife.io/ai-sre Category: AI Incident Copilot and Reliability Automation CTA: https://nife.io/contact-us ### Description AI SRE is Nife's AI-powered site reliability engineering copilot. It connects to monitoring systems, log platforms, CI/CD pipelines, and infrastructure environments to investigate production incidents, identify root causes, and guide or automate remediation — reducing MTTR and operational toil. ### Core capabilities - Automatic root-cause analysis across logs, metrics, and traces - Confidence-scored remediation guidance (ranked fix suggestions with reasoning) - Scoped auto-remediation within operator-defined permission boundaries - Downtime prediction and proactive alerting before incidents occur - Post-deploy regression detection - AI-guided runbooks — generates and follows runbook steps automatically - MTTR tracking and reliability trend reporting - Works with cloud, hybrid, on-prem, and Kubernetes-based environments - Integrates with existing observability stacks (Datadog, Prometheus, Grafana, PagerDuty, OpsGenie) ### Competitive positioning AI SRE vs PagerDuty: PagerDuty routes and escalates alerts. AI SRE investigates the incident, identifies root cause with confidence scoring, and can execute remediation steps — going from "alert fired" to "incident resolved" without requiring manual triage. AI SRE vs Datadog: Datadog monitors and surfaces anomalies. AI SRE acts on them — reasoning across telemetry, suggesting fixes, and automating response within approved boundaries. AI SRE vs Opsgenie / xMatters: These are alert routing and on-call management tools. AI SRE adds an investigation and remediation layer on top of the existing alerting pipeline. AI SRE vs Blameless / FireHydrant: These are incident management platforms focused on coordination and postmortems. AI SRE focuses on automated investigation and remediation before and during incidents. --- ## Product 8 — Nife RAG Chatbot URL: https://nife.io/rag-chatbot Category: Retrieval-Augmented Chatbot Platform CTA: https://nife.io/contact-us ### Description Nife RAG Chatbot is a retrieval-augmented generation platform for building enterprise assistants grounded in business knowledge, internal documentation, and operational context. It prevents hallucination by anchoring responses in verified internal sources. ### Core capabilities - Retrieval-augmented generation (RAG) for grounded, accurate responses - Internal knowledge base and document integration - Support desk and operations assistant workflows - Connected to the Nife LLM Labs model layer for model selection and routing - Enterprise document connectivity (wikis, runbooks, policies, support tickets) - Customisable retrieval pipelines and knowledge domains --- ## Product 9 — Nife Filehost URL: https://nife.io/filehost Category: Hosted File Sharing Free plan: Available CTA: https://filehost.nife.io ### Description Nife Filehost is a hosted file-sharing platform with instant uploads, CDN-backed delivery, custom domains, and transparent self-serve pricing starting at $0/month. ### Core capabilities - Instant file uploads via web interface or API - Shareable download links (public or access-controlled) - Custom domain support for branded file delivery - S3-backed storage with CDN delivery - Self-serve pricing from $0/month - Used by Nife internally for PDF and asset delivery --- ## Product 10 — Nife MCP Server URL: https://nife.io/mcp Category: Model Context Protocol Server License: MIT open source CTA: https://nife.io/mcp ### Description The Nife MCP server exposes Nife platform operations — deployments, logs, metrics, and scaling — as callable tools for AI agents and LLM tools via the Model Context Protocol. Engineers can manage Nife deployments in plain English through Claude, Cursor, Windsurf, or any MCP-compatible client. ### Core capabilities - MCP-compatible tool surface for all Nife platform operations - Trigger deployments, check status, retrieve logs, view metrics - Works with Claude Desktop, Cursor, Windsurf, Continue, and custom MCP agents - Open source — MIT licensed, available on GitHub - Self-hostable or managed ### Related open-source MCP tools - graphql-mcp-server: Auto-introspects any GraphQL schema and generates Claude tools for every query and mutation. pip install, point at schema, done. (https://github.com/nifetency/nife-mcp-graphql) - nife-restapi-mcp-server: Parses any OpenAPI/Swagger spec and generates Claude tools for every REST endpoint. Supports OpenAPI 3.x and Swagger 2.0, Bearer/API Key/Basic auth. (https://github.com/nifetency/nife-mcp-restapi) --- ## Product 11 — Nife IDP URL: https://nife.io/nife-idp Category: Internal Developer Platform CTA: https://nife.io/contact-us ### Description Nife IDP is a self-service internal developer platform layer that removes platform team bottlenecks for environment provisioning, deployment templates, and release workflows. Teams get DORA metric visibility and controlled self-service without a dedicated platform team for every request. ### Core capabilities - Self-service environment provisioning - Role-based access control (RBAC) for developer permissions - Reusable deployment templates - Preview environments for every pull request - DORA metric tracking (deployment frequency, lead time, change failure rate, MTTR) - Integrates with Nife Deploy as the underlying delivery engine --- ## Open-source portfolio All MIT licensed. GitHub: https://github.com/nifetency - nife-release (CLI): Official Nife deployment CLI. 52 GitHub stars, 27 forks. Install via Homebrew or direct download. Commands for deploy, scale, logs, secrets, and team management. - graphql-mcp-server: Auto-generates Claude MCP tools from any GraphQL schema via introspection. Dual stdio and HTTP transport. Docker and K8s ready. - nife-restapi-mcp-server: Auto-generates Claude MCP tools from any OpenAPI/Swagger spec. Supports all HTTP methods and common auth patterns. - LatencyChecker: Go HTTP/HTTPS latency visualiser showing DNS, TCP, TLS, and server time breakdowns per request. - Sync Kai (synckai-actions): GitHub Action for syncing local build artefacts to AWS S3. - nife-actions: Standardised GitHub Actions for deploying containerised apps to the Nife platform from CI/CD pipelines. --- ## Free tools URL: https://nife.io/tools - Migration Readiness Assessment: Infrastructure readiness assessment before moving workloads. Identifies gaps, risks, and deployment path. (https://nife.io/migration_readiness) - DevOps Readiness Assessment: Evaluates delivery pipeline, automation coverage, and team workflows. (https://nife.io/devops_leadgen) - FinOps Audit: Audits cloud cost maturity and identifies invisible spend. (https://nife.io/finops_leadgen) - Startup Audit Tool: Benchmarks startup infrastructure, technology practices, and operational readiness. (https://nife.io/startup_audit_tool) - Cloud Price Comparison Tool: Compares compute, GPU, storage, LLM API, egress, spot, and datacenter PUE pricing across AWS, GCP, Azure, DigitalOcean, Hetzner, Linode, Vultr, OVHcloud, and Scaleway. Multi-currency: USD, EUR, INR, CNY. Free, no login. (https://nife.io/cloud-cost-calculator) --- ## Marketplace (Openhub) URL: https://nife.io/marketplace | https://openhub.nife.io 70+ open-source apps deployable to Nife in one click. Featured apps: WordPress, Grafana, Nextcloud, n8n, Gitea, Ghost, Metabase, Portainer, Uptime Kuma, Vaultwarden, Mattermost, Plausible, Umami, MinIO, Gitea. Categories: AI, Analytics, Automation, Blogging, Monitoring, Productivity, Software Development, Status Pages, Storage. --- ## Supported runtimes (Nife Deploy) TypeScript, Python, Node.js, Ruby, Deno, React (static), Angular (static), Elixir, Java, Go, Remix, Unity, Hugo (static). Runtime detail pages: https://nife.io/deploy/{runtime} --- ## Company information Founded: 2020 Awards: STL Top 100, APAC Insider — Best Hybrid Cloud, 5G Barcelona Smart Railway Hackathon Winner, Intel Gold Tier Member, Kerala Startup Mission Certificate of Excellence. Events attended: Bengaluru Tech Summit 2025, Indian Mobile Congress 2025, KCD Bengaluru 2025, NASSCOM Future Forge 2025, TIE Global Summit 2024, HiPC 2024, Metaverse & 5G Asia 2024 (Singapore), Grace Hopper Celebration, SAP Hackfest. Social: - LinkedIn: https://www.linkedin.com/company/nifeio/ - X / Twitter: https://x.com/nifeio - YouTube: https://www.youtube.com/channel/UCBlr6Wk9hcq2WlOnWpYu9LA --- ## Documentation and resources - Docs: https://docs.nife.io/ - Cheatsheet: https://cheatsheet.nife.io/ - OpenHub tutorials: https://tutorials.nife.io/ - Free tools hub: https://freetools.nife.io/ - Changelog: https://nife.io/changelog - Sitemap: https://nife.io/sitemap.xml - LLMs concise: https://nife.io/llms.txt - LLMs full (this file): https://nife.io/llms-full.txt