Technologies & platforms we work with
We design and build intelligent AI agents, automation pipelines, and generative AI products that transform how your business operates — faster, smarter, and at scale.
What we do
From autonomous agents to full-stack AI products, we cover every layer of the modern AI stack — so you can ship faster and scale confidently.
Purpose-built autonomous agents that reason, plan, and execute multi-step tasks across your tools and data sources — with full traceability.
Orchestrate teams of specialised agents that collaborate, delegate, and self-correct using LangGraph, CrewAI, or custom frameworks.
Connect agents to your CRM, ERP, databases, calendars, email, Slack, and any REST or GraphQL API to drive real actions, not just responses.
Combine retrieval-augmented generation with agentic reasoning so your agents answer accurately from your own knowledge base, never hallucinate policies.
Define evaluation suites, trace every run with LangSmith or Langfuse, and continuously improve agent accuracy and reliability in production.
Package, containerise, and deploy agents to AWS, Azure, or GCP with autoscaling, secrets management, and CI/CD pipelines included.
Design and deploy no-code/low-code automation pipelines that connect your apps, trigger on events, and remove repetitive manual work at scale.
Automate extraction, classification, and routing of invoices, contracts, forms, and reports using LLMs combined with structured pipelines.
Intelligent email triage, auto-replies, lead nurturing sequences, and meeting scheduling — driven by AI, executed automatically.
Sync data across Zoho, Salesforce, HubSpot, SAP, and custom systems. Keep every platform in sync without manual data entry or export/import cycles.
Automated dashboards, scheduled AI-generated summaries, and alert pipelines that surface insights to the right people at the right time.
Automate your DevOps pipelines, internal approval flows, ticketing systems, and onboarding processes with AI-assisted decision logic.
End-to-end development of production-grade LLM apps on Claude, GPT-4o, Gemini, or open-source models — API integration, prompt engineering, output structuring.
Retrieval-augmented generation pipelines with vector stores (Pinecone, Weaviate, pgvector), chunking strategies, reranking, and hybrid search.
Customer-facing chatbots, internal knowledge assistants, and developer copilots — with conversation memory, persona, and escalation logic.
Build voice-enabled assistants (Whisper, ElevenLabs), image understanding, document OCR + extraction, and multimodal workflows.
Choose the right model for your use case, fine-tune on your data with LoRA/QLoRA, and serve it efficiently with cost and latency benchmarking.
Define your AI roadmap, identify highest-ROI automation opportunities, and build internal capability — so AI becomes a durable competitive advantage.
Identify prompt injection, data exfiltration, insecure output handling, and model abuse risks in your generative AI applications before they reach production.
Security architecture review for agentic systems — access control for tools, least-privilege credentials, rate limiting, and human-in-the-loop checkpoints.
Discover and govern unsanctioned AI tool usage across your organisation. Build policies and monitoring before shadow AI becomes a data leakage incident.
Align your AI initiatives with NIST AI RMF, EU AI Act, ISO 42001, and sector-specific regulations. Risk registers, impact assessments, and audit trails included.
How we work
A lean, iterative process that gets AI working in your environment — not just in a demo.
We audit your processes, data, and goals to identify the highest-impact AI opportunities — and rule out the hype.
Rapid prototype in 1–2 weeks. You see a working version early, give feedback, and we iterate — no big-bang reveals.
Production-grade engineering: clean code, test coverage, observability, and seamless integration with your existing stack.
Deploy, monitor, and continuously improve. We track real metrics so the system keeps getting better after go-live.
AI Security & Governance
Speed of AI adoption creates new risks. We help you identify and mitigate them before they become incidents or regulatory issues.
Test your LLM apps for prompt injection, jailbreaks, insecure direct object references, and data exfiltration vectors before they reach users.
Define safe boundaries for autonomous agents: tool access controls, human-in-the-loop gates, blast radius limits, and audit trails for every action.
Find unsanctioned AI tools your team is already using. Govern them before employee data flows into unknown third-party models.
Align with NIST AI RMF, EU AI Act, ISO 42001, and sector regulations. Risk registers, impact assessments, and model cards included.
Why rootping
We measure success by what moves for your business — leads generated, hours saved, decisions automated — not by time billed.
No throwaway prototypes. Everything we build is observable, testable, and maintainable — ready for real traffic from the start.
With roots in cybersecurity, we treat AI security as a first-class concern — not an afterthought or a separate engagement.
Clear scoping, honest timelines, documented decisions, and a collaboration style that respects your team's time zones and calendars.