AI Product Development Agency.

LLM integration is about connecting the intelligence of large language models to the specific data, workflows, and user interfaces of your product or business. We integrate OpenAI, Anthropic, Google Gemini, and open-source models into production applications — with the prompt engineering, context management, and evaluation frameworks that make LLMs reliable in the real world.

• A production LLM integration that is reliable, cost-efficient, and monitored
• Measurable automation of the target workflow with quality output at acceptable cost per query

AI agents are the shift from AI that answers to AI that acts. We build AI agents — autonomous systems that plan, use tools, and complete multi-step tasks without human intervention — for business process automation, research, customer service, and product differentiation.

• An AI agent that autonomously completes the target workflow with measurable accuracy
• Hours of manual work automated per day without additional headcount

AI chatbots have evolved beyond scripted decision trees into conversational systems that handle complex, nuanced queries. We build AI chatbots — for customer support, sales qualification, onboarding, and internal knowledge — that are accurate, on-brand, and grounded in your specific data.

• 40–70% deflection of repetitive support or qualification queries from human teams
• A chatbot with a measurable CSAT score from users who interact with it

AI automation replaces the manual, repetitive, high-volume tasks that cost your team time and introduce human error. We build AI automation workflows — using LLMs, vision models, and process orchestration — that free your team to work on the work only humans can do.

• The target workflow automated end-to-end with measurable time saving per day
• Error rate lower than the manual process it replaces

AI SaaS products have a different architecture than traditional SaaS — LLM costs at scale, prompt management, vector databases, and AI UX patterns are all first-class concerns. We build AI SaaS products from the ground up with the infrastructure that supports commercial scale.

• A production AI SaaS product built for commercial scale with cost controls in place
• Usage-based billing that aligns revenue with AI cost as the product scales

AI UX is a distinct discipline — users have different mental models of AI than traditional software, and the design patterns for streaming responses, uncertainty communication, and human-in-the-loop workflows are not in the standard UI kit. We design AI product interfaces that are trustworthy, transparent, and genuinely helpful.

• A user experience that builds appropriate trust in the AI without over-claiming capability
• Higher task completion rate in AI-assisted workflows

Generative AI — text, image, audio, and video — is reshaping what products can offer. We build generative AI features and products that differentiate from competitors, generate content at scale, and create the novel experiences that earn press coverage and user advocacy.

• A generative AI feature that creates measurable differentiation in competitive product reviews
• Generation quality that meets the threshold for user trust in your specific content domain

An AI MVP needs to prove that the AI adds genuine value — not just that it works. We build AI MVPs in weeks, not months — scoped to test the core AI hypothesis with real users before committing to full infrastructure investment.

• A testable AI MVP live with real users within your target timeline
• Clear validation or invalidation of the core AI value hypothesis with user evidence

Retrieval Augmented Generation grounds LLM responses in your specific data — eliminating hallucination, enabling up-to-date answers, and making AI reliable for use cases where accuracy matters. We build production RAG pipelines for document intelligence, enterprise search, and AI assistants.

• An LLM that answers questions about your data accurately without hallucinating
• Query response accuracy above the minimum threshold required for the use case

AI workflow automation combines the reasoning capability of LLMs with the integration reach of workflow tools to automate entire business processes end-to-end. We build AI workflow automations that connect your existing tools, apply AI intelligence to the decision points, and execute without human intervention.

• The target workflow running end-to-end without manual intervention
• Processing capacity that scales without additional headcount

Computer vision unlocks the ability to understand, classify, and act on visual information at scale. We build computer vision solutions — for quality control, document processing, security, and product features — that process images and video with the accuracy needed for production deployment.

• A computer vision model that meets the accuracy threshold required for the production use case
• Automated processing of visual inputs that previously required manual human review

AI strategy consulting answers the questions every leadership team is wrestling with: where does AI create genuine value in our business, what should we build versus buy, and how do we avoid wasting budget on AI that does not deliver? We run structured AI strategy engagements that give organisations a clear, actionable roadmap.

• A prioritised AI roadmap with ROI estimates that justifies the investment to the board
• Clarity on the 2–3 AI use cases that will deliver the highest business impact in the next 12 months