JustAutomate builds AI chatbots for B2B companies in Cambridge. Unlike basic FAQ bots, our chatbots understand context, pull answers from your knowledge base using RAG, and handle complex multi-step conversations.
Book a free consultationCambridge built its reputation on a rare combination: a world-leading university and a commercial cluster — known as Silicon Fen — that turns academic research into companies. Around the Cambridge Biomedical Campus, Cambridge Science Park, Babraham Research Campus and the West Cambridge innovation district, hundreds of firms trace their origins directly to university labs, from the chip-design heritage that produced ARM to the life sciences groups clustered near Addenbrooke's Hospital and, more recently, AstraZeneca's global R&D centre. Cambridge Enterprise, the University's commercialisation arm, and programmes like Accelerate Cambridge keep feeding fresh spin-outs into that pipeline every year, with the Wellcome Genome Campus at nearby Hinxton adding a further layer of genomics and biodata companies to the mix.
That origin story shapes a specific operational gap. Many Cambridge B2B companies are technically deep but commercially lean — a handful of scientists or engineers running sales, support and admin alongside the actual product work, often still inside the first few years post-spin-out. The same FAQ about licensing terms, technical specs or pilot status gets typed out by hand for the tenth time; a lead from a conference stand or an investor introduction sits unqualified for days because nobody owns first response between fundraising and the lab bench. An AI chatbot closes that gap without adding headcount to teams that were built around research, not operations.
We work with B2B clients across Europe fully remotely. Every engagement starts with a structured discovery: we map your processes, identify the highest-ROI automation opportunities and give you a concrete implementation plan before you commit to anything.
Our JUSTPROCES methodology delivers first results within 14 days — not after a 6-month project. We start with quick wins, prove the value and expand from there. For spin-outs and research-adjacent companies handling sensitive IP, unpublished trial data or material covered by licensing agreements with the University, we scope carefully what the chatbot can and cannot access before anything goes live, and keep it clear of anything a clinical trial or tech-transfer agreement would restrict.
These are the workflows B2B companies in Cambridge most frequently automate with JustAutomate:
Our JUSTPROCES methodology delivers a working automation within 2 weeks. You see results before the main investment — not after months of setup, which matters when your team's real work is the science, not the rollout.
We work with B2B companies across Europe without requiring on-site presence. Discovery, implementation, training — all remote with the same quality as on-site, so it doesn't compete for space with lab or office time on campus.
We define KPIs before starting and deliver a formal ROI report at 30 and 90 days. If the numbers do not work, we tell you before you invest — useful when budget decisions run through a small founding team, not a procurement department.
We handle all technical implementation. You explain your process and validate the result. We document everything for your team to maintain independently — a fit for lean, research-heavy teams without a dedicated IT function.
We have experience with B2B automation across all major business sectors. In Cambridge, that means life sciences and biotech groups around the Biomedical Campus and Babraham, deep-tech and semiconductor firms carrying on the city's chip-design lineage, software and AI companies spun out of the Computer Laboratory and West Cambridge site, and research and education organisations tied to the University and its colleges. These teams typically see the highest ROI from automation precisely because so much of their process volume — technical enquiries, licensing questions, pilot coordination — is still handled manually by people whose time is better spent on the science.
A rule-based chatbot follows fixed decision trees. An AI chatbot understands natural language, handles variations and follow-up questions, and can search your knowledge base for answers that are not pre-programmed.
Yes. We build chatbots with RAG (Retrieval Augmented Generation) — the bot searches your documents (PDFs, wikis, CRM notes) to answer questions accurately. No hallucinations, answers backed by your data.
Website widget, Slack, Teams, WhatsApp Business, Facebook Messenger, email. We deploy on the channels your customers already use.
In our B2B implementations, AI chatbots handle 40-60% of support queries without human intervention. The remaining queries are routed to the right team with full conversation context.
We'll show you how BOND or the Personal Agent works on sample data. No generalities — a concrete case from your industry.
No reception, no helpdesk, no tickets. I'll answer directly: whether this makes sense for your company and what the first step would be.