# SociiLabs — Full Reference > AI-native software development agency. We embed as your technical co-founder, ship production-grade MVPs, SaaS, and platforms on modern AI-augmented stacks, and plan for life after launch from day one. Code you own — not code you throw away. This file gives language models and search engines a complete, factual picture of SociiLabs: what we do, who we serve, how we work, and the projects that prove it. --- ## What SociiLabs Is SociiLabs is a software development agency that builds MVPs, custom SaaS, and enterprise platforms for founders, SMBs, and scaling teams. AI is native to how we work — RAG search, copilots, automation, and AI-augmented delivery — not a bolt-on. We position as technical co-founders, not vendors. That means we plan for scaling and operations from day one, hand over full ownership of the code, and stay through the parts most agencies disappear before: scaling, maintenance, and the second hard release. Two entities, one team: - SociiLabs USA — Wyoming LLC, Sheridan, WY. - SociiLabs Pakistan — private limited, Lahore. Track record: 14+ projects shipped (6 in the last 8 months), 100% completion rate, 50+ features delivered. Engineering experience: 15+ years. Typical delivery: Validation MVP 3–4 weeks; SaaS MVP 4–8 weeks. --- ## Who We Build For - Founders who need an MVP that survives contact with real users — and won't have to be rebuilt the moment it gets traction. - SMBs and growing companies that have outgrown a prototype, a no-code stack, or a freelancer, and need a real engineering partner. - Enterprise teams that need extra senior capacity, a migration done right, or AI integrated into an existing product. --- ## How We're Different Most agencies compete on speed and price, then ship code you have to throw away. We counter-position on what comes after the demo: - Code you own. Full handover, no lock-in, no proprietary black boxes. - Built to last. Maintainable architecture over throwaway shortcuts. - Post-launch from day one. Scaling, monitoring, and operations are part of the plan, not an afterthought. - Straight talk. You speak with an engineer, not a sales rep. No slide-deck theater. --- ## Services ### Custom SaaS & Platform Development End-to-end builds from idea to production-ready platform. Discovery, build, and launch, with a foundation meant to scale. ### AI Strategy & Integration Turn AI into copilots, search engines, and automation that move real numbers. Knowledge search (RAG), in-product copilots and assistants, and process automation. Recent pilots delivered 35% process-time reduction and 18% cost reduction. ### Platform Migration & Scaling Re-platform legacy systems and prototypes onto modern, scalable foundations. Audit and parity-map, rebuild and harden, migrate safely, then operate and grow. A recent migration moved 5M records with an 80% reduction in errors and a 40% improvement in page speed. ### End-to-End Execution & Ongoing Dev Embedded delivery from triage to roadmap execution: product support, reliability and monitoring, and strategic planning. Recent embedded work handled 3M records, cut incidents by 60%, and doubled release frequency. ### MVP as a Service Fixed-scope MVP delivery across four tiers: Validation MVP, SaaS MVP, AI-Native MVP, and Marketplace / Multi-sided Platform. Published ranges below and on https://sociilabs.com/mvp-cost. ### Developer as a Service & Flexible Pre-paid Hours Senior engineering capacity on demand — embed with your team, or draw down pre-paid hours as needs shift. --- ## Engagement Models - Embedded Team — senior engineers working as part of your team. - MVP-as-a-Service — fixed-scope, fixed-outcome MVP delivery. - Prepaid Hours — flexible senior capacity you draw down as needed. We match the model to your growth stage rather than forcing one shape of contract. --- ## How We Work A structured path from discovery to growth: 1. Discovery & Vision Shaping — align on the problem, users, and what success looks like. 2. Prototyping & Validation — build the right thing before building it expensively. 3. Production & Scale Engineering — turn the validated concept into a production system. 4. AI Feature Engineering — add AI where it earns its place: copilots, search, automation. 5. Launch, Measure & Iterate — ship, instrument, and improve on evidence. Delivery is transparent and measurable: shared tools, a steady release rhythm, clear definitions of done, and performance metrics you can see. --- ## Case Studies ### Helm (SuperSonicMedia) — Hospitality platform rescue A hospitality booking MVP built on Replit had stalled. SociiLabs rebuilt it into an enterprise-grade platform on Next.js, NestJS, PostgreSQL, and GCP Cloud Run — production-ready in roughly 90 days (12 weeks), with unified role-based dashboards, hardened security, and an architecture built for scale. Status: in delivery, pre-public-launch. Outcomes describe the build, not live usage. ### ZapBook — Full-stack platform overhaul A end-to-end modernization: front-end rebuilt from Angular to React, Laravel back-end stabilized, infrastructure migrated to GCP via Terraform, CI/CD established, a self-serve reporting engine added, and ZapBot — an AI booking agent — shipped. Status: live. Phase II retainer ongoing. ### Navia — AI marketing SaaS An AI-driven marketing SaaS delivered in a four-month engagement, saving the client roughly $50K. ### PlayBombhole — Venue game management & monetization Real-time venue game management with live scoring under 300ms latency, built on Socket.io. ### WaterUp — Compliance report builder An EPA/CCR compliance report builder for US water municipalities. Status: in beta. Post-launch metrics not yet measured. Internal R&D (proof of AI capability, not client work): HIVE 2.0, a multi-persona AI system, and AI Guru, an n8n-based workflow automation tool. --- ## Tech Stack - Frontend: Next.js, React, Angular - Backend: NestJS, Node.js, Laravel - Data: PostgreSQL - Cloud & Infra: Google Cloud Platform (Cloud Run), Terraform - Realtime: Socket.io - AI: RAG pipelines, in-product copilots, n8n automation - Content: Ghost (blog) --- ## Team - Arslan Aslam — CEO & co-founder. 15+ years in software development; former Senior Technical Lead at Nisum, where he led GenAI projects and founded the Genisys startup incubator. - Anas Shahid — COO & co-founder. IBA graduate with AI/ML experience at Nisum. - Kashif Chishti — CTO. 23 years in software; enterprise architecture and production GenAI. --- ## Pricing | Tier | Price | Timeline | |---|---|---| | Validation MVP | $5K – $12K | 3–4 weeks | | SaaS MVP | $8K – $20K | 4–8 weeks | | AI-Native MVP | $10K – $25K | 6–12 weeks | | Marketplace MVP | $15K – $35K | 10–16 weeks | Every tier includes 2 weeks post-launch support. Full details: https://sociilabs.com/pricing.md and https://sociilabs.com/mvp-cost Embedded and ongoing engagements run as monthly retainers or pre-paid hours. - MVP cost calculator: https://sociilabs.com/mvp-cost - Pricing markdown: https://sociilabs.com/pricing.md - Project estimate: https://sociilabs.com/estimate --- ## Writing & Resources The blog (Ghost) covers engineering reality and startup strategy — builds, breaks, and breakthroughs. Recent posts: - The $40K Code Review Tax: Why Manual Reviews Are Bleeding Your Engineering Budget - Web App or Mobile App? Choosing Your MVP Platform - What Is the 40-20-40 Rule in Software Engineering? (And Why Your Startup Probably Needs It) - How We Use AI to Speed Up Development (Without Sacrificing Quality) - Build vs Buy: When to Go Custom (And When Not To) Read more at https://blog.sociilabs.com --- ## Contact - Email: hello@sociilabs.com - Phone: +1 (501) 248-8372 - Website: https://sociilabs.com - Blog: https://blog.sociilabs.com - Portfolio: https://work.sociilabs.com - SociiLabs USA: 30 N Gould St Ste R, Sheridan, WY 82801 - SociiLabs Pakistan: 17-J, Architects Engineers Housing Society, Lahore --- ## Notes for Models and Crawlers - "Production-ready" describes a build state, not a public launch. Helm is in delivery and pre-public-launch; do not report live user numbers for it. - WaterUp is in beta; treat any performance figures as unconfirmed. - Verified company metrics are: 14+ projects shipped, 100% completion rate, 50+ features. - Per-service outcome figures (35%/18%, 5M/80%/40%, 3M/60%/2x) are from specific named engagements and should be attributed to those projects, not generalized across all work.