# Pexaworks

Pexaworks is an AI-first software engineering company building AI agents, LLM applications and custom software for businesses in the United States, the United Arab Emirates and India.

> Full text corpus for deep retrieval: https://pexaworks.com/llms-full.txt
> Machine-readable sitemap: https://pexaworks.com/sitemap.xml

## Services
- [AI Agents & Automation](https://pexaworks.com/services/ai-agents-and-automation): Agentic systems that execute real work inside your operations, with human oversight where it matters.
- [AI Applications](https://pexaworks.com/services/ai-applications): Copilots, document intelligence, retrieval systems, and customer-facing AI features that hold up in production.
- [AI Strategy & Readiness](https://pexaworks.com/services/ai-strategy-and-readiness): Use-case selection, data readiness, and a roadmap that survives contact with production.
- [Custom Software Development](https://pexaworks.com/services/custom-software-development): Bespoke platforms, SaaS products, portals, and the integrations between them.
- [Web Development](https://pexaworks.com/services/web-development): High-performance web platforms built for speed, search, and AI visibility.
- [Mobile Apps](https://pexaworks.com/services/mobile-apps): Native and cross-platform apps for iOS and Android, engineered for engagement and built to evolve.
- [ERP Solutions](https://pexaworks.com/services/erp-solutions): Unified finance, inventory, sales and procurement systems with AI forecasting and anomaly detection built in.
- [Cloud & Platform Engineering](https://pexaworks.com/services/cloud-and-platform-engineering): Cloud architecture, migration, and DevOps — the infrastructure your software and AI workloads actually run on.
- [UX/UI Design](https://pexaworks.com/services/ux-ui-design): Research-driven design systems that people actually use, accessible and scalable from day one.
- [Support & Maintenance](https://pexaworks.com/services/support-and-maintenance): Managed hosting, monitoring, updates and security patching after launch.

## Case studies
- [Forecast error down 40%, stockouts down to zero](https://pexaworks.com/work/specialty-chemicals-demand-forecasting): a specialty chemicals manufacturer supplying industrial clients across three states, Manufacturing
- [No-shows cut by more than half across four clinic locations](https://pexaworks.com/work/clinic-group-no-show-reduction): a four-location dental and wellness clinic group, Healthcare
- [A support copilot that cut resolution time in half](https://pexaworks.com/work/internal-copilot-support-deflection): a B2B software company with a 12-person support team, SaaS
- [Personalised offers, 3× the redemption rate](https://pexaworks.com/work/ai-loyalty-and-recommendations): a multi-location retail chain with stores across major cities, Retail
- [50% organic growth in 90 days — and cited by AI engines](https://pexaworks.com/work/web-platform-rebuild-ai-seo): a mid-market services firm serving enterprise clients nationwide, Professional services
- [Financial reporting cut from weeks to hours](https://pexaworks.com/work/intelligent-erp-for-a-distributor): a distributor running 340 SKUs across three warehouses, Distribution

## Insights
- [Your legacy system, not your AI strategy, is what's actually blocking your roadmap](https://pexaworks.com/blog/legacy-systems-are-the-real-ai-adoption-blocker): Almost 60% of AI leaders name legacy integration as their top barrier to shipping agentic AI. The fix usually isn't a rewrite.
- [68% of searches now end without a click. Here's what that actually changes about building a website.](https://pexaworks.com/blog/zero-click-search-what-it-means-for-your-website): The website isn't dying. But writing it for a reader who clicks through is now the exception case, not the default one.
- [You probably don’t need the frontier model for that](https://pexaworks.com/blog/you-dont-need-the-frontier-model-for-that): Routing most traffic to a small, cheap model and saving the expensive one for the hard cases isn't a compromise. It's usually just correct.
- [Why most multi-agent systems fail before they ship (and it's not the model)](https://pexaworks.com/blog/why-multi-agent-systems-fail-before-they-ship): Add a second agent and you don't get double the intelligence. You get a coordination problem, and those fail in predictable ways.
- [The vibe-coding hangover: what AI-generated code actually costs three months later](https://pexaworks.com/blog/the-real-cost-of-vibe-coding): AI coding tools ship features fast. The bill for that speed usually arrives about a quarter later, in code nobody wants to touch.
- [Prompt engineering is dead. Context engineering is the job now.](https://pexaworks.com/blog/context-engineering-is-the-job-now): Writing a clever prompt was never the hard part. What actually breaks agents in production is what you feed them, and when.

## Answers
- [What does it take to move an AI prototype into production?](https://pexaworks.com/answers/what-it-takes-to-move-an-ai-prototype-into-production): Usually three things a prototype doesn't have yet: real monitoring so you actually know the moment it starts getting things wrong, a maintenance plan for the models and dependencies it quietly depends on, and a defined incident process for the day something inevitably breaks in production.
- [How long does a custom software project take?](https://pexaworks.com/answers/how-long-does-a-custom-software-project-take): A focused build typically runs three to six months from discovery to a live production release, with working software demonstrated every two weeks along the way. Larger platform work runs longer, but a genuinely usable first version should always arrive early, not months into the build.
- [Should we build AI in-house or hire an agency?](https://pexaworks.com/answers/should-we-build-ai-in-house-or-hire-an-agency): Build in-house if you already have ML engineers and the use case is core to your product long-term. Bring in a partner for specialised, non-permanent work — evaluation infrastructure, agent orchestration, or a first production deployment your team hasn't done before this one.
- [How do you stop an AI agent from hallucinating in production?](https://pexaworks.com/answers/how-to-stop-an-ai-agent-hallucinating-in-production): Ground every answer in retrieved source material and require a citation, add confidence scoring that routes uncertain cases to a person, and log every action for audit. The fix is almost never a better model — it's the engineering around it.
- [How do you evaluate an LLM application before launch?](https://pexaworks.com/answers/how-to-evaluate-an-llm-application-before-launch): Build a test set of real questions with known-correct answers before writing any feature code, run the application against it, and score both accuracy and faithfulness to source material against a defined threshold before shipping — the same discipline as automated testing for any other piece of software.
- [What should an AI readiness assessment cover?](https://pexaworks.com/answers/what-should-an-ai-readiness-assessment-cover): Four things, in this order: which use cases are actually worth pursuing given your real constraints, whether your data can genuinely support them today, a clear build, buy, or wait recommendation for each one, and a phased roadmap with success metrics defined before any code gets written.
- [RAG or fine-tuning for a company knowledge base?](https://pexaworks.com/answers/rag-or-fine-tuning-for-company-knowledge-base): RAG, for nearly every business use case. It stays current without retraining, and every answer can cite its source — which matters for trust. Fine-tuning is worth it mainly when you need consistent style or format, not factual recall, and increasingly the two work together rather than as a strict either/or.
- [How much does it cost to build an AI agent for a business?](https://pexaworks.com/answers/how-much-does-it-cost-to-build-an-ai-agent): Most agent projects fall between a focused three-month engagement and a six-month build, depending on how many systems it needs to touch. We typically start with a two-to-four-week scoping engagement, priced separately, that produces a fixed roadmap before any larger commitment.

## Company
- [Work](https://pexaworks.com/work)
- [Services](https://pexaworks.com/services)
- [Approach](https://pexaworks.com/approach)
- [About](https://pexaworks.com/about)
- [Trust](https://pexaworks.com/trust)
- [Careers](https://pexaworks.com/careers)
- [Contact](https://pexaworks.com/contact)
- [Agents](https://pexaworks.com/agents)
- [Privacy](https://pexaworks.com/privacy)
- [Terms](https://pexaworks.com/terms)