We design, build, and deploy production-grade agentic systems that automate real business workflows. Every solution is grounded in deterministic context, governed for enterprise adoption, evaluated against measurable success criteria, and deployed within your regulatory region.
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Why governed from day one
of enterprise AI pilots show no measurable profit impact. The cause is context, not the model.
MIT NANDA, 2025
of agentic AI projects will be cancelled by 2027 on cost, unclear value, and weak controls.
Gartner, 2025
Every diagnosis lands on the same three things: context, governance, and the workflow itself.
The part we do
The fix is never a bigger model. Context, governance, and the workflow itself are what make agentic systems ship. That is what we build, and we guarantee the outcome.
Production-grade agentic systems take more than a model. We assess the workflow, redesign it into plans a fleet can run, ground it in deterministic context, and govern it in production. Every stage is a place you can start.
A fixed-price Readiness Scan maps the process end to end: handoffs, decisions, exceptions. Plus a context and data audit, a governance baseline, and an ROI model per workflow. It is where every engagement starts.
We turn the workflow into explicit plans, then staff it with specialist agents that hand work to each other. The Lighthouse build ships a first working version in two weeks, not a slide deck.
Agents fail when they guess. We give the fleet deterministic, auditable context, so the same input yields the same understanding and a signed decision log. This is the layer control planes assume but never provide.
An agent left alone is a liability. Agentic Operations runs the fleet: evals, guardian reviews, kill-switches, audit trails, and a cost-per-outcome dashboard your CFO can read.
Specialist agents, each hired into a governed workflow. Predictable cost, production-tested security. Open any one for the full breakdown, including the layer of the operating model it proves.
Deterministic, auditable context for every fleet we deploy. Same input, same understanding, a signed decision log every time. It knows what a change will break before you ship, and plugs into Claude, Cursor and any MCP client. Companies shipping without it pay the hallucination tax.
Try Spiderbrain→Four specialised agents in one framework: copywriting, marketing, design, and HR. Each one trains on your brand, your work, your policies, and your jurisdictions, then drafts inside the first week.
Explore Ready-made Agent→A private RAG agent that learns your docs, code, contracts, and tickets. Every answer is paragraph-anchored. It never returns a document the asker cannot already open.
Explore Second Brain Agent→A multi-channel sales agent that runs the full lead-to-payment journey. Enriches, scores, books, takes payment, and logs every consent it collects.
Explore Sales Agent→A counsel-supervised agent that drafts cited responses, flags regulatory drift, and refuses when no source supports the answer. Counsel finalises every output.
Explore Predictive Legal Agent→An agent that lives next to your kernel. It collapses alert storms into one triaged incident, proposes a root-cause hypothesis with a confidence score, and never acts without permission.
Explore Server Agent→We map your workflow, redesign it, and stand up the fleet that runs it, against written success criteria. If it doesn't do what you asked for, you don't pay.
Define the win
A working session with your team to map current workflows, surface friction, and pinpoint the three or four tasks where an agent can move the needle in 30 days. You leave with a scoped opportunity map (workflows, expected hours saved, integration touchpoints) that is clear enough to take to your CFO.
Agents fail when they guess. The grounding layer of every fleet we deploy is a deterministic context graph: same input, same understanding, a signed decision log every time. We built it, it is called Spiderbrain, and it is live now at spiderbrain.ai. This is the layer the big control planes assume exists but never provide.
Transformation you can audit: every agent decision traceable to a signed, reproducible context graph. It runs on your machine, plugs into the tools you already use, and is the same grounding layer we deploy under enterprise fleets.
Try Spiderbrain→AI projects fail when nobody can see what's happening. Here is how we stop that, every single engagement.
Live dashboards. Every action your agent takes, every dollar it costs, every minute it saved you, visible from day one. No mystery box.
You get a real Perform Digital lead who knows your business. We do not hand you off to an offshore inbox. We do not auto-reply with a robot. Ironic, we know.
We define what success looks like in week one: hours saved, tickets handled, revenue won. If the agent is not delivering by month three, we work for free until it does.
Ready when you are.
Bring the process that eats time and gives nothing back. In 20 minutes we will tell you what a governed fleet could do with it, and what it would cost.