Services · Hybrid workforce
Four practices.
One outcome: humans and agents, shipping together.
We design, build and operate the agentic stack end-to-end — from the lakehouse that grounds the agents, to the skills that make them useful, to the platform that turns every interaction into a lesson and ties the whole thing to the KPIs your business actually tracks.
01 · Agentification
Agentification
We embed agents into your team's workflows. Sales, support, finance, ops — wherever work is repeatable, agents take the load and your humans stay on the judgement calls. We pick the wedge, ship it alongside the team, then expand.
Process audit
Map the workflow, identify the high-leverage cuts, quantify the cost-of-doing-nothing. We start where the ROI is obvious — and where humans most want the help.
Hybrid design
Goals, tools, guardrails, escalation paths. Agents that know their limits and hand off cleanly to humans; humans who know when to trust the agent and when to override.
Production rollout
Shadow mode → supervised → autonomous, with kill switches and audit trails at every step. No big-bang launches; the team grows confidence as the agent earns it.
Continuous learning
Evals, traces, human feedback in the loop. Every interaction — and every correction from the team — makes the next one cheaper and sharper.
02 · Skills
Agent Skills
Custom skills tailored to your business: tools, integrations, domain knowledge and guardrails. Off-the-shelf agents are generic; your competitive edge isn't. We package what makes you you, into capabilities your agents can actually wield.
Tool wiring
Connect agents to your real systems — ERP, CRM, ticketing, internal APIs — with auth, rate-limits and retries handled properly.
Domain knowledge
Curated context, retrieval, ontologies. The agent knows your products, your customers, your policies, your jargon.
Guardrails & policy
Hard rules, soft preferences, compliance constraints. The boring layer that keeps an agent out of court.
Skill library
Reusable, versioned, evaluated skills. New use cases compose from existing pieces instead of starting from zero.
03 · Lakehouse
Data Lakehouse
The foundation under every good agent. Unified storage, governed schemas, real-time pipelines — so your AI is grounded in the truth of the business, not in confident hallucinations.
Architecture
Bronze / silver / gold layers, Iceberg or Delta tables, schema evolution that doesn't break the pipeline downstream.
Pipelines
Streaming and batch ingestion from your operational systems. Idempotent, observable, lineage-tracked.
Governance
Catalog, access control, PII handling, retention. The audit team stops being scary.
Agent-ready
Semantic layer + retrieval contracts so agents query the data the way humans actually mean the question.
04 · Platform & KPIs
Platform & KPIs
The boring infrastructure that makes the magic durable: orchestration, observability, evals, cost controls, and dashboards that tie agent work directly to the metrics your CFO and your customers actually look at.
Orchestration
Multi-agent workflows, durable execution, human-in-the-loop where it matters. Built to recover from anything.
Sandboxed runtime
Agents that write code need somewhere safe to run it. We sandbox every execution in Firecracker microVMs (via E2B), so untrusted code never touches your infrastructure.
Observability
Traces, evals, replay, cost-per-task. You see what the agent did, why, and what it cost.
Cost & SLOs
Token budgets, latency targets, error budgets. AI economics that hold up under finance scrutiny.
KPI dashboards
Tickets resolved, leads qualified, hours saved, margin recovered. The numbers your business already tracks — with the agent's contribution attributed.
Security & policy
SSO, audit logs, PII redaction, prompt-injection defenses, data-residency boundaries. The compliance layer that lets agents into regulated environments.
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