Scale your team
with agentic AI
— not headcount.

They absolutely can — and should! Tools like ChatGPT, Claude, and Gemini are incredibly useful for individual tasks. But there's a big difference between an employee pasting text into a chat window and having AI systematically embedded into your workflows. Think of it this way: giving everyone a hammer doesn't mean you've built a house. We help you design the blueprint — identifying which workflows benefit most from AI, building custom automations that run without manual prompting, and connecting AI tools to your actual systems (CRM, project management, databases). The result is AI that works in the background, consistently, at scale — not just when someone remembers to open a browser tab.

ChatGPT is a conversational tool — you ask it something, it responds. An AI agent is more like a digital team member that can reason through multi-step tasks, use tools, make decisions, and take actions autonomously. For example, ChatGPT can draft an email if you ask it to. An AI agent can monitor your inbox, identify leads that match your criteria, research the company, draft a personalised response, and queue it for your approval — all without being prompted. Agents are the next evolution: they don't just answer questions, they get work done.

Small teams are actually where AI creates the most leverage. When you have 3–10 people, every hour matters. AI agents can handle the repetitive, time-consuming work that's currently eating into your team's capacity — research, data entry, report generation, customer follow-ups, content drafting. Instead of hiring your 6th employee to handle overflow, you deploy an agent that handles 60% of that workload for a fraction of the cost. Our Foundation package starts at $800 specifically because we believe early-stage startups shouldn't be priced out of this advantage.

We don't hand you a PDF and wish you luck. Our engagements deliver working systems — actual automations, deployed agents, and integrated workflows that your team uses from day one. The Foundation package includes a real, functioning automation deployed in your environment, not a roadmap of what you could theoretically do. Nigel has been a 3x founder himself, so he understands that startups need execution, not more slide decks.

We're platform-agnostic and work with whatever makes sense for your stack. That includes OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), open-source models (Llama, Mistral), and automation platforms like n8n, Make, Zapier, and LangChain. For more technical implementations, we build custom agents using Python, TypeScript, and various orchestration frameworks. We'll recommend what fits your budget, technical maturity, and data sensitivity — not what pays us the highest referral fee.

This is something we take seriously — especially since our sister practice at distributededge.tech specialises in cybersecurity and infrastructure. We design AI integrations with data privacy built in from the start: choosing between cloud and local models based on your sensitivity requirements, implementing proper access controls, and ensuring compliance with relevant standards. If your startup handles sensitive data (healthcare, defence, financial), we can deploy on-premise or private cloud solutions where your data never leaves your environment.

Yes — and this is a sweet spot for us. Nigel has mentored at 12+ accelerators including Techstars, NATO DIANA, and NSF I-Corps, so he understands the landscape intimately. For SBIR/STTR awardees, our services can be included under the TABA (Technical and Business Assistance) budget line, which means the government effectively funds your AI integration. We can also help frame your AI capabilities for investor narratives and grant applications.

Physical AI refers to artificial intelligence that interacts with the real world — through robotics, IoT sensors, edge devices, or industrial control systems. If your startup builds hardware, operates physical infrastructure, or collects data from sensors, then yes, Physical AI is relevant to you. This is where our full Distributed Edge team adds unique value: the .ai side handles the intelligence layer, while the .tech side handles the infrastructure, networking, and cybersecurity that keeps it all running securely.