Investors want to see AI in the product, customers want it to work, and your engineers are already busy shipping the core roadmap. We build AI MVPs, in-app assistants, voice features, AI agents and analytics for startups and SaaS teams, and you keep all of the IP.
Every founder is getting the same question from investors and customers: where is the AI? You have a roadmap, a small engineering team already stretched on the core product, and maybe a prototype someone wired up to an OpenAI key over a weekend. Getting from that prototype to a feature paying customers trust is the hard part. The Botss does AI development for startups and SaaS companies. We design, build and ship AI MVPs, in-app assistants, voice features, AI agents and analytics, then hand over a codebase your own team can run.
The gap between a demo and a product is where most AI work stalls. Answers that are wrong one time in twenty. Responses slow enough that users close the tab. An LLM bill that grows faster than revenue. One tenant's documents turning up in another tenant's answers. An enterprise prospect sending a security questionnaire nobody can fill in. We build for those problems from the first sprint: retrieval over customer data with strict tenant isolation, evaluation sets that catch hallucinations before a release, model routing and caching to keep cost per request in check, and the access controls and audit logs that SOC 2 auditors look for.
We have done this for products with real users. Vikk, an AI legal assistant built on LLMs, RAG and a multi-agent design, went from kickoff to MVP in six weeks and now serves 120,000+ users in 30+ languages. Arthur is a text and real-time voice AI coach that works in English and German. Medsuccour reached a working deep-learning MVP in about twelve weeks. We also build and run SaaS of our own: Commify.ai, an AI platform for e-commerce whose site lists 2,400+ active stores, and IWMCRM, an AI CRM for pharma distribution.
You can hire us for a fixed-scope build or as a dedicated team that works inside your sprints. Our engineers are based in Karachi, with a registered office in the UAE. That usually costs less than hiring senior AI engineers in London or San Francisco, and gives you working-hour overlap with the GCC and Europe. You keep 100% of the IP: code, prompts, evaluation sets and any fine-tuned models.
Engineers who have shipped LLM features in production are scarce and expensive. Recruiting one can take months your runway doesn't cover, and one hire rarely covers models, retrieval, backend and evaluation.
A single-prompt demo works in the pitch meeting. Then it meets messy customer documents, edge-case questions and real traffic, and starts making things up or timing out.
Every request goes to the largest model. Token spend climbs with each new customer, gross margin shrinks, and users wait long enough to notice.
RAG over customer data is only safe if one tenant can never retrieve another's files. Permissions in the retrieval layer are easy to get wrong and expensive to fix after launch.
Larger buyers send SOC 2 questionnaires, ask for GDPR data-processing agreements and want to know which model providers see their data. Deals stall while you work out the answers.
Each new cohort of signups brings the same how-do-I tickets. Customer success can't reach every account, so the quiet ones churn before anyone notices.
Real-time voice features for SaaS and apps: in-app voice assistants, AI phone agents for your customers, and voice AI MVPs.
Explore AI Voice Agents 02In-app AI assistants, support chatbots and onboarding guides grounded in your docs and each customer's own data.
Explore AI Chatbots 03AI agents and workflow automation for support triage, customer success, revenue operations and internal SaaS operations.
Explore AI Automation 04AI MVP and AI SaaS development: LLM apps, RAG products, multi-agent systems and custom models, built by one team from model to UI.
Explore Custom AI Development 05SaaS metrics dashboards, product analytics, churn prediction and AI usage and cost analytics built on Stripe, product events and your database.
Explore AI Data AnalyticsA working AI product, not a slide, that pilot customers can log into and investors can try. Scoped to the one workflow that proves the idea.
An assistant inside your product that drafts, explains, fills forms and answers questions using the user's own data and permissions.
An AI support chatbot answers from your docs and help center, walks new users through setup and hands real issues to your team in Intercom or Zendesk.
Search that understands meaning across tickets, documents and records, plus summaries of long threads, calls and reports.
Agents that call your APIs to create records, update settings, run reports or trigger workflows, with approval steps where the stakes are high.
Real-time voice conversations for coaching, sales, support or hands-free use, built on streaming speech and your product's own logic.
Usage signals trigger check-ins, renewal prep and expansion prompts, so your CS team spends time on accounts that need a human.
Models that flag accounts likely to cancel, and dashboards that show which features drive activation, retention and AI cost per customer.
Vikk AI is a 24/7 AI-powered legal assistant that gives users instant, private legal guidance, analyzes their documents, and connects them with verified lawyers when needed. We helped build a conversational platform that delivers state-specific answers across dozens of legal categories and languages.
Voice AI2025Arthur is an AI life mentor and spiritual coach that holds warm, natural conversations by text or real-time voice — helping people find clarity in relationships, health, and personal growth. Available 24/7, free and confidential, it is trusted by thousands of women worldwide.
Medsuccour is an AI-powered project designed to revolutionize the diagnosis of traumatic brain injuries through rapid and accurate analysis of CT scans. Given that every minute counts after a head trauma, our model drastically reduces the time required to detect and localize brain injuries, generating detailed reports in seconds.
Commify.ai is an AI-driven platform designed to help small and medium-sized e-commerce businesses automate. By integrating directly with Shopify or WooCommerce stores, Commify.ai enables companies to deploy AI chatbots for 24/7 support, generate and edit product descriptions and images, and reduce manual workload, allowing merchants to focus on growth and sales.
Explore Commify.ai ProductI Will Manage (IWM) CRM is an AI-powered SaaS platform purpose-built for pharma distribution companies, designed to replace manual operations with intelligent automation and real-time insights. Developed by The Botss, the platform centralizes lead, vendor, product, and team management while leveraging AI-driven communication, predictive analytics, and seamless integrations with tools such as Microsoft 365, Google Workspace, Zoom, and Twilio.
Explore IWMCRMEvaluation sets, monitoring, fallbacks and rate limits are part of the build. Vikk went from MVP to 120,000+ users on that kind of foundation.
We build with the controls SOC 2 auditors look for, support GDPR data-processing agreements and keep records that help with EU AI Act obligations for products sold into the EU.
Model routing, prompt caching and smaller models for simple tasks keep cost per request and latency under control as usage grows.
Fixed-scope MVP, an ongoing dedicated team, or engineers who join your standups as staff augmentation. You choose what fits your stage.
A Karachi-based engineering team gives you senior AI skills at a lower cost than most Western hires, with shared hours across the GCC and Europe and scheduled overlap with US teams.
Code, prompts, evaluation data and trained models are yours. No platform lock-in, and you can run it in your own cloud account.
It depends on scope. The main drivers are how many workflows the MVP covers, whether it needs RAG over customer data or custom models, the number of integrations and your security requirements. We give a fixed quote after a short discovery, so book a call and we'll outline a realistic first version.
Usually weeks, not months. Vikk's AI legal assistant reached MVP in six weeks, a focused chatbot like CanVisas shipped in three, and Medsuccour's deep-learning model took about twelve. We set the timeline once the scope is clear.
Yes. Most of our work is adding AI features such as copilots, semantic search, summarization and agents to products that already have users. We work in your codebase and through your APIs, and follow your team's review and deployment process.
It depends on how central AI is to your product and how fast you need it. Hiring takes time and one engineer rarely covers everything an AI feature needs. Many teams start with us for the first build, then keep a dedicated team or bring the work in-house with a full handover.
Not entirely, but they can be controlled. We ground answers in your data with RAG, constrain outputs with structured formats and validation, and run evaluation sets on every release so regressions are caught before users see them.
Usually, with the right setup. The major providers' business APIs offer terms under which your data isn't used to train their models, and we add tenant isolation, redaction of sensitive fields and regional hosting where your customers require it.
We can make the AI part easier to audit. We build with access controls, encryption, logging and change management that auditors look for, and document how data flows to model providers. The audit itself is between your company and your auditor.
Yes. You can engage us for a fixed-scope project, a dedicated team that owns an AI roadmap, or individual engineers who join your sprints and work in your tools.
It can be, if the team has shipped real products. Pakistan has a large software engineering workforce, Karachi is one hour ahead of Dubai and three to four hours ahead of Central Europe, and the cost is usually lower than equivalent hires in the US or UK. Judge any vendor on live products, not slides.
You do. You keep 100% of the IP, including source code, prompts, evaluation sets and any fine-tuned model weights.
Tell us what your product does and where AI should fit. We'll show you the smallest version worth building and what it takes to get it in front of users.
