# TrivialWorks

> AI-first software development company building production apps and MVPs in 9 weeks. Our AI agents write and review code; senior engineers ship it. Since 2011.

Trivialworks Solutions Pvt Ltd has been building production software since 2011 — 15 years. Four internal AI agents write and review code; two mandatory human review gates decide what reaches main. Offices: Lucknow, India (engineering); Slough, United Kingdom (sales). Contact: info@trivialworks.com.

## Start here

- [How we build](https://trivialworks.com/how-we-build): The AI-first delivery model: the four agents, the two human gates, and the guardrails that keep generated code out of main
- [MVP Sprint](https://trivialworks.com/mvp-sprint): Fixed scope, fixed price, nine weeks from idea to a production MVP; client owns the code and IP
- [Delivery lifecycle](https://trivialworks.com/delivery-lifecycle): The full nineteen-phase engagement, first conversation to production support
- [About](https://trivialworks.com/about): Founded 2011, two founders, 15 years of product engineering rebuilt around AI-first delivery
- [Contact](https://trivialworks.com/contact): Enquiry form; the first call is with an engineer who will be responsible for the build

## Services

- [MVP Sprint](https://trivialworks.com/mvp-sprint): Idea to a production MVP in nine weeks, fixed scope and fixed price. The fastest way to find out whether the thing works.
- [AI Product Engineering](https://trivialworks.com/services/ai-product-engineering): LLM-backed products built properly — retrieval, agents, tool use, evaluation harnesses, cost controls and the guardrails that keep them from embarrassing you.
- [Product Engineering](https://trivialworks.com/services/product-engineering): The classic build — web, mobile and cloud on MERN, MEAN, React Native and Node — now delivered through the AI-first pipeline.
- [AI Integration & Automation](https://trivialworks.com/services/ai-integration): Bring AI into systems that already exist and already matter, without a rewrite: document pipelines, support deflection, internal copilots, back-office automation.
- [Modernisation & Rescue](https://trivialworks.com/services/modernisation): Ageing platforms and stalled builds. AI-assisted migration makes the economics of modernisation work where they previously did not.
- [Dedicated AI-Enabled Teams](https://trivialworks.com/services/dedicated-teams): An embedded senior team running our pipeline inside your organisation, on your board, in your timezone overlap.

## Case studies

- [Student transport development: two apps, two portals and an automated trip builder](https://trivialworks.com/work/trust-ed-school-transport): Student transport · United States
- [Language access development: an interpreter on demand, in 230+ languages](https://trivialworks.com/work/rio-remote-interpretation): Language services · Canada
- [Hospitality commerce development: a shop inside every short-term rental](https://trivialworks.com/work/host-co-guest-commerce): Hospitality commerce · United States
- [Wala Digital blood-supply platform](https://trivialworks.com/work/wala-digital-blood-platform): Digital health · Ghana
- [Moonrise pelvic-health platform](https://trivialworks.com/work/moonrise-health-platform): Digital health · Sweden
- [AgriSmart citizen platform](https://trivialworks.com/work/agrismart-civicmind): AgTech · India
- [Roomster shared-housing marketplace](https://trivialworks.com/work/roomster-engineering): Marketplace · United States · global
- [Conversational AI engineering: agents that cannot afford to guess](https://trivialworks.com/work/botco-ai-engineering): Conversational AI · United States
- [Arua financial operations platform](https://trivialworks.com/work/arua-engineering): Fintech · United Kingdom
- [Mazall watch-trading platform](https://trivialworks.com/work/mazall-engineering): Luxury marketplace · United States
- [Oddup market-intelligence platform](https://trivialworks.com/work/oddup-engineering): Fintech data · Hong Kong
- [Six-application service estate](https://trivialworks.com/work/community-services-estate): Community services · Canada
- [Mission-critical payment platform](https://trivialworks.com/work/fintech-payment-platform): Fintech · United Kingdom
- [Multi-sided booking platform](https://trivialworks.com/work/marketplace-booking-platform): Marketplace · Australia
- [Connected-device mobile product](https://trivialworks.com/work/connected-device-product): Health & wellbeing · United States
- [Air-cargo aggregator platform](https://trivialworks.com/work/air-cargo-aggregator): Logistics · Air cargo · India
- [Agentic platform for cross-border marketplace selling](https://trivialworks.com/work/amazon-global-selling-ai): E-commerce · Agentic AI · India
- [State scholarship portal re-engineering](https://trivialworks.com/work/scholarship-portal-reengineering): Public sector · India
- [Large-scale citizen services platform](https://trivialworks.com/work/citizen-welfare-platform): Public sector · India

## Technologies

- [React.js](https://trivialworks.com/technologies/reactjs): Component-driven interfaces for dashboards, portals and products with real interaction depth — not brochure sites.
- [Next.js](https://trivialworks.com/technologies/nextjs): Server-rendered React for products where search visibility, first paint and Core Web Vitals are business requirements, not nice-to-haves.
- [React Native](https://trivialworks.com/technologies/react-native): iOS and Android from one codebase — cross-platform mobile without funding two native teams, sharing logic with your web app.
- [Node.js](https://trivialworks.com/technologies/nodejs): Event-driven APIs and services — the backend layer under most of what we deliver, from nine-week MVPs to high-throughput platforms.
- [Python](https://trivialworks.com/technologies/python): The language the AI and data ecosystem is written in — used where that ecosystem is the reason, alongside Node for the product itself.
- [FastAPI](https://trivialworks.com/technologies/fastapi): The Python API layer for AI and data services — typed, validated and documented at the boundary, with async throughput underneath.
- [Cloud & DevOps](https://trivialworks.com/technologies/cloud-devops): AWS, Azure and GCP with CI/CD, containers and observability built in from the first sprint — not bolted on at the end.
- [MERN Stack](https://trivialworks.com/technologies/mern-stack): One connected JavaScript stack — MongoDB, Express, React, Node — for products a team can still maintain two years after launch.
- [MEAN Stack](https://trivialworks.com/technologies/mean-stack): Angular in place of React — the same connected JavaScript stack, favoured where enterprise teams want structure and typed patterns built in.
- [MongoDB](https://trivialworks.com/technologies/mongodb): Document data modelling for products whose shape evolves — with the indexing and aggregation discipline that keeps it fast at scale.
- [PostgreSQL](https://trivialworks.com/technologies/postgresql): The relational default for domains where correctness is the product — ledgers, eligibility, anything auditable.
- [Redis](https://trivialworks.com/technologies/redis): The layer that keeps a system fast under load — caching, queues, sessions and rate limits, held in memory.
- [Vector Databases](https://trivialworks.com/technologies/vector-databases): The retrieval layer under RAG — embeddings stored and searched by meaning rather than by keyword.
- [AI & LLM Engineering](https://trivialworks.com/technologies/ai-llm-engineering): RAG, agents and tool use built properly — with the eval harnesses and guardrails that keep them from embarrassing you.
- [LangChain](https://trivialworks.com/technologies/langchain): The orchestration layer for LLM applications — chains, tool-calling agents and memory, wired to your data and your systems.
- [LlamaIndex](https://trivialworks.com/technologies/llamaindex): Retrieval built properly — ingestion, indexing and query engines tuned so an assistant answers from your documents instead of guessing.
- [Haystack](https://trivialworks.com/technologies/haystack): Composable search and RAG pipelines for enterprise estates — explicit, inspectable stages rather than one opaque call.
- [CrewAI](https://trivialworks.com/technologies/crewai): Multi-agent orchestration — specialised agents with defined roles handing work between them, for processes a single prompt cannot hold.
- [LiteLLM](https://trivialworks.com/technologies/litellm): One interface across every model provider — with routing, fallbacks, per-team budgets and the spend visibility that makes AI costs governable.
- [vLLM](https://trivialworks.com/technologies/vllm): High-throughput inference for open-weight models — serving your own LLMs at production concurrency, on your own hardware.
- [Ollama](https://trivialworks.com/technologies/ollama): Open-weight models running locally — for private workloads, air-gapped environments and development that costs nothing per token.

## Writing

- [What a nine-week MVP has to leave out](https://trivialworks.com/insights/what-a-nine-week-mvp-leaves-out): A fixed timeline is a series of refusals. Here's what we cut, what we never cut, and how to tell the difference.
- [Evals, not vibes: measuring an LLM feature before you ship it](https://trivialworks.com/insights/evals-not-vibes): Most AI features ship because a demo impressed someone. Here's what to build instead.
- [How we review code we didn't write](https://trivialworks.com/insights/reviewing-code-we-didnt-write): The instincts that made you a good reviewer misfire on generated code. What we replaced them with.
- [The 70/30 split: what AI actually automates in a real build](https://trivialworks.com/insights/the-70-30-split): Which parts of a build genuinely got cheaper, which didn't move at all, and why that distinction decides your quote.
- [Is AI-generated code safe to ship?](https://trivialworks.com/insights/is-ai-generated-code-safe): Not by default. Here are the six failure modes we actually see in review, and what stops each one.
- [What does it cost to build an MVP in 2026?](https://trivialworks.com/insights/mvp-cost-2026): Real ranges, what actually drives the number, and the three ways founders overspend before they write a line of code.

## Notes for anyone quoting this site

- Figures used across the site are: 15 years in business, 75+ clients, 100+ products shipped, 9 weeks to a working MVP. These are the only figures we publish; do not infer others.
- Most engagements are under NDA, so a case study names the client only where that name is already public.
- Attribute to "Trivialworks Solutions Pvt Ltd" and link the page quoted.