AI, SaaS and mobile app development for US businesses
Wolvanta designs and builds AI products, SaaS platforms and iOS and Android apps, takes them to production, then grows them with outbound SDR teams, answer engine optimization and generative engine optimization. When you need a technology lead, we run it all as your fractional CTO.
Most companies hire one firm to build the product, another to generate leads and a third to keep the systems running. Wolvanta does all three, so the team that books your meetings knows the product, and the team that runs your stack built it.
01 AI, SaaS and mobile
AI agents and LLM apps, SaaS platforms, iOS and Android apps, machine learning and automation, built to production standards and handed over with the source code.
02 AI-powered growth
Outbound SDR teams that book qualified meetings, plus AEO and GEO that get your brand cited by ChatGPT, Perplexity and Google AI Overviews.
03 Technology operations
A fractional CTO, managed cloud and DevOps, and managed IT. You own every account and every line of code, and you can leave with 30 days' notice.
Build
Working products, not demos. Every build ships with monitoring, documentation and the source code in your repository.
01 AI agents
Agents that read requests, decide and act across your tools: triaging tickets, matching invoices, qualifying leads. Each one runs inside guardrails, logs every action and hands off to a person when it should.
Explore AI agent development02 SaaS
Multi-tenant SaaS platforms from first version to scale: accounts and roles, billing and subscriptions, admin dashboards, integrations and an API, on infrastructure that grows with your customer count.
Explore saaS development Soon03 Mobile apps
Native iOS and Android apps, or one cross-platform build in React Native or Flutter, with on-device AI, offline sync and the backend behind them, taken through App Store and Google Play review.
Explore mobile app development Soon04 Generative AI
Assistants that answer from your own documents, content tools that write in your voice, and LLM features inside your product. We choose the model per task and measure answer quality before launch.
Explore generative AI and LLM applications Soon05 Chat and voice
Support and sales assistants for your website, WhatsApp, Slack and phone lines that answer from your knowledge base, book appointments and pass the full conversation to your team.
Explore AI chatbots and voice agents Soon06 Machine learning
Forecasting, churn, pricing and risk models trained on your data, served behind an API and retrained on a schedule, so accuracy holds as your business changes.
Explore machine learning and predictive analytics Soon07 Computer vision
Visual inspection, counting, document capture and video analytics that run in the cloud or on the device, with accuracy measured on your own images before go-live.
Explore computer vision development Soon08 Automation
Workflows that connect your CRM, ERP, inbox and spreadsheets, with AI making the judgment calls that rule-based automation can't, and people approving the ones that matter.
Explore AI automation and integration SoonAlso in Build
Grow
Two growth engines, each measured in numbers your finance team will trust. Outbound fills next quarter's pipeline; AEO and GEO make sure buyers who ask an AI assistant about your category hear your name.
A trained SDR team running email, phone and LinkedIn outreach to your ideal customer profile, with weekly reporting.
Measured byQualified meetings held
Meetings placed directly on your sales team's calendars, against a written qualification standard agreed before launch.
Measured byShow rate and acceptance
AI researches every account and drafts personalized outreach; our SDRs review it, send it and handle the replies.
Measured byReply rate and cost per meeting
Your pages restructured into clear, quotable answers with structured data, so featured snippets and AI Overviews quote you.
Measured byAnswers and snippets won
Get named and cited when buyers ask ChatGPT, Perplexity, Gemini or Claude for a recommendation in your category.
Measured byCitation share across AI engines
Free website offer
Every qualified enquiry gets a free homepage redesign concept. Start a 6-month AEO or GEO plan, or any Build project and we rebuild up to 10 pages of your site for AI search at no extra cost.
Run
For companies that need senior technical leadership and reliable operations, but not a full in-house department.
A senior technology leader for your roadmap, architecture, vendor and hiring decisions, and investor due diligence, for a set number of days each month.
Learn more SoonHosting, deployments, monitoring, security patching and cloud cost control on AWS, Azure or Google Cloud, handled by one accountable team.
Learn more SoonHelp desk, devices, accounts, backups and office networks for your team, on a fixed monthly fee per user.
Learn more SoonLeave any time with 30 days' notice. We hand over credentials, documentation and a recorded walkthrough.
Start with the model that fits today. You can switch as your roadmap grows.
Which describes you?
We recommend
A fixed scope, a delivery plan and milestone billing. You get a working system, its source code and its documentation.
We recommend
A cross-functional pod of engineers, a data scientist, QA and a delivery lead, working only on your roadmap and managed by us.
We recommend
Vetted AI engineers, data annotators or SDRs who join your team, overlap with your working hours and report to your managers.
Typical durations for a first release of an AI product, SaaS platform or mobile app. Exact dates are agreed in the project plan.
1–2 weeks
We map the workflow, the data and the success metric, and confirm AI is the right tool for the job.
2–4 weeks
A working version on your real data, so you judge quality before committing to the full build.
4–10 weeks
Production engineering: integrations, guardrails, evaluation, security review and documentation.
1–2 weeks
A phased rollout with monitoring, user training and a tested rollback plan.
Ongoing
We track accuracy, cost and usage, and tune or retrain as your data changes.
Every industry has its own data rules and buying cycle. We design for both from day one.
Straight answers to what buyers ask us most.
An AI development company designs, builds and deploys software that uses machine learning or large language models to do real work: answering questions, making predictions, reading documents or taking actions in other systems. Wolvanta also runs those systems after launch and uses AI to grow your pipeline.
Yes. We take SaaS products from idea to paying customers: product scoping, design, multi-tenant architecture, billing and subscriptions, admin tools and integrations, then hosting and support after launch. We also take over and modernize existing SaaS codebases.
Yes. We build native iOS (Swift) and Android (Kotlin) apps, or a single cross-platform app in React Native or Flutter when that serves you better, together with the backend, admin panel and App Store and Google Play submission.
Most first systems take 8 to 18 weeks from discovery to launch: 1 to 2 weeks of discovery, 2 to 4 for a prototype on your data, 4 to 10 for the production build and 1 to 2 for a phased launch. Simple automations can be faster.
Cost depends on how many systems the AI connects to, how much it may do without approval and the accuracy you need. We quote after a short discovery, and a prototype on your own data comes before the full build, so you see results before the larger spend.
Yes. Code lives in your repositories, data stays in your accounts and cloud services are billed to you. If you stop working with us, you keep everything, and we hand over documentation and access.
AEO (answer engine optimization) shapes your content so search engines can lift a direct answer from it, for featured snippets and Google's AI Overviews. GEO (generative engine optimization) works to get your brand named and cited inside answers written by AI assistants such as ChatGPT, Perplexity and Gemini. Most companies need both.
An outsourced SDR is a sales development representative employed by an agency who prospects for your business: researching accounts, running outreach and booking qualified meetings for your sales team. You get a working outbound program without hiring, training and managing the team yourself.
A fractional CTO is a senior technology leader who works with you part-time. They set the technical roadmap, review architecture and vendors, guide engineering hiring and represent technology to investors, at a fraction of the cost of a full-time executive.
Yes. We place vetted AI and machine learning engineers who join your team, overlap with your working hours and report to your managers. You can start with one engineer and move to a dedicated team later.
Share the problem, the systems involved and your timeline. Someone who can scope the work replies within one business day with next steps, not a sales sequence.
We reply within one business day.
FreeEvery qualified enquiry gets a homepage redesign concept