AI Agent Development
Autonomous AI agents that get work done end-to-endWe build production-grade AI agents — single-purpose task agents, multi-agent orchestration systems, and tool-using LLM pipelines that autonomously complete complex multi-step workflows.
What you get
Every engagement is designed around clear business outcomes — not just technical deliverables.
End-to-End Automation
Agents that research, decide, act, and report — without human intervention for routine tasks.
Tool Use
Agents that browse the web, query databases, write files, send emails, and call APIs.
Planning & Memory
Long-horizon planning with persistent memory so agents don't repeat themselves.
Observability
Every agent step is logged, traceable, and auditable — critical for enterprise compliance.
Built Different. Delivered Different.
We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.
10+ Years of Production AI
We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.
Results-Driven, Not Hours-Driven
We measure success by your business outcomes: reduced costs, more revenue, faster operations.
Deep Technical Depth
Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.
Radical Transparency
We tell you when AI is not the right answer. Our goal is your success — not our revenue.
How we work
A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.
Workflow Analysis
Decompose the target workflow into discrete steps; identify where autonomy is safe.
Tool Inventory
Identify and build all tools (APIs, browser, file system) the agent needs to complete the task.
Agent Architecture
Design the agent loop — ReAct, plan-and-execute, or multi-agent collaboration pattern.
Guardrails
Define what agents can and cannot do; add human approval gates for irreversible actions.
Monitor & Refine
Trace every agent run, measure success rates, and improve the prompt/tool loop iteratively.
Our tech stack
We pick the best tool for the job — not the one we happen to know. Here is what powers our AI Agent Development engagements.
Agent Frameworks
Tool Use & Memory
Observability
Deployment
Typical projects
From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.
Choose how we work together
No one-size-fits-all pricing. We adapt to your project type, team size, and budget.
Fixed-Price Project
Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.
- Detailed scope document
- Fixed-cost proposal
- Milestone-based payments
- 30-day post-launch support
Ideal for: Defined projects with clear requirements
Monthly Retainer
Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.
- Dedicated senior engineer hours
- Weekly strategy calls
- Priority support SLA
- Monthly roadmap reviews
Ideal for: Growing SaaS and product companies
Team Augmentation
Dedicated engineers embedded in your team — same timezone, same tools, same Slack.
- Full-time dedicated engineers
- Direct Slack/Teams access
- Embedded sprint participation
- Knowledge transfer sessions
Ideal for: Enterprises scaling their tech teams
Common questions
Still have questions? Ask us directly →
How reliable are AI agents in production?
Reliability depends on task complexity and guardrails. We design for graceful failure and human escalation on uncertainty.
What's the difference between an AI agent and a chatbot?
A chatbot responds. An agent acts — it can autonomously take steps, use tools, and complete tasks without being prompted each step.
How do you prevent agents from taking wrong actions?
Tool permissions, confidence thresholds, human-in-the-loop gates, and immutable audit logs.
Let's build something
extraordinary together.
Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.