AI-Enabled engineering pods with Human-in-the-Loop governance
talk to sales6 weeks
80%
30%
Six specialist pods. One delivery partner.
Each pod is a self-managing unit of engineers embedded in your workflow on a monthly retainer. They ship working output every sprint, operate inside your delivery cadence. Each pod is backed by Maxima's AI platform and technology partnerships.
Recruitment pod
A specialist sourcing and screening unit embedded in your hiring workflow. The pod handles job briefing, candidate pipeline management, and first-round qualification, so your internal team only sees pre-vetted candidates. Designed for engineering and technical roles where generic recruiters fall short.
Managed security pod
A dedicated security engineering team that owns your threat monitoring, vulnerability management, and compliance posture on an ongoing basis. Covers WAF management, penetration testing coordination, incident response, and security tooling. Your attack surface, managed continuously.
Managed SRE pod
A Site Reliability Engineering pod that owns your reliability targets: SLOs, error budgets, incident response, and infrastructure resilience. The pod operates inside your existing observability stack and delivers measurable reliability improvements sprint by sprint. No new headcount. No tribal knowledge locked in one engineer.
AI implementation pod
A two-phase delivery model for organizations building a custom LLM integration, RAG pipeline, or AI agent. Phase 1 delivers a production-ready system in 60 to 90 days via an AI/ML Architect, Data Engineer, and Prompt/Integration Engineer. Phase 2 maintains model accuracy, vector database freshness, and API cost controls on an ongoing monthly retainer.
Migration pod
A specialist migration engineering team that plans, executes, and documents complex infrastructure and data migrations: legacy-to-cloud, database modernization, and inter-platform transitions. Every migration decision is logged for audit. Downtime is minimized by design. Your internal team inherits a clean system, not a migration backlog.
Project pod
A self-managing Agile delivery unit that designs, builds, and ships internal developer portals, custom integrations, and workflow automation. The pod covers every discipline your project needs: Product Owner, Senior Architect, Full-Stack Developer, and QA, to deliver two sprints of predictable feature velocity every month.
Pre-built AI digital workers deployed inside your infrastructure
A Silicon Agent is a pre-built, production-ready AI digital worker that handles a specific enterprise workflow autonomously: processing invoices, drafting RFPs, running compliance checks, supporting migrations, or auditing cloud spend. It runs inside your infrastructure with zero data egress, operates under Human-in-the-Loop governance controls, and logs every decision in an immutable audit trail.
You do not need LLM engineers or data scientists to operate it.
Maxima's Silicon Agents are pre-built and production-tested before they reach you. They are deployed inside your own perimeter using your infrastructure, your cloud account, and your data. The implementation timeline is 4 to 6 weeks.
PRIVATE
Zero data egress
Agents run inside your perimeter: on-premise, VPC, or air-gapped. Your corporate data, proprietary workflows, and prompt structures never touch an external cloud.
GOVERNED
Human-in-the-Loop by design
No agent executes high-risk actions autonomously. Human sign-off is required at critical workflow junctures. Every decision is logged in an immutable audit trail.
What changes when AI workers run inside your own infrastructure
The practical consequence of infrastructure-native AI is not just a security posture improvement. It changes what workflows are available to automate, what data the agents can access, and how your compliance and legal teams respond to AI adoption internally.
Akamai, and AxonIQ: what each partnership actually delivers.
Building a custom operation takes time. What if you need operational excellence, now? Plug your operations directly into our Global Centers for immediate, predictable results.
SOC 2 TYPE II
Continuous compliance controls
ISO/IEC 27001:2022
Information security management
HITL CONTROLS
Human-in-the-Loop governance
THOUGHT LOGGING
Immutable audit trail
AKAMAI WAF + EAA
AI endpoint and access protection
AIR-GAPPED OPTION
Fully isolated deployments
Private by architecture. Governed by design. Certified to the standard regulated industries require.
Security in Maxima's AI model is not a compliance layer applied after deployment. It is a structural property of the architecture. The decisions made at the infrastructure level, the governance controls built into the agent framework, and the perimeter protection collectively produce an AI deployment posture that enterprise InfoSec and compliance teams can review, approve, and audit.
The core principle: AI agents that run inside your perimeter cannot leak data to an external cloud, because they never connect to one. Your corporate data, your proprietary workflows, and your prompt structures stay inside the network boundary you already control. Maxima brings the agents to your data; your data does not go to a vendor's cloud.
Pre-built agents available for deployment today
Each agent is production-tested and configured for a specific enterprise workflow. Agents are deployed as the starting point and configured to your systems and approval rules during Weeks 3 and 4, not built from scratch.
For the full list of agents available: Talk to sales
AI FinOps Agent
AI-driven cloud cost analysis and waste identification. Audits cloud spend across AWS, Azure, and GCP, identifies unoptimised resources, and generates prioritised remediation recommendations.
RFP Agent
Ingests dense enterprise RFP documents and historical proposal data to draft, review, and format complex proposal responses. Reduces RFP response cycle time and frees bid teams from the manual first-draft process.
Migration Agent
Assists in IT infrastructure and data migration tasks: mapping legacy schemas to new environments, flagging data quality issues, and documenting migration decisions for audit.
Finance and CFO Agent
Invoice processing, spend auditing, and financial reporting automation for finance teams. Reduces manual data entry, accelerates close cycles, and surfaces spend anomalies that manual review misses.
The right fit for an AI pod engagement
Maxima's AI pods work best in specific situations. If your situation matches, the 30-minute discovery call will be a productive use of your time.
30 minutes to a clear AI deployment plan
We map your target workflow, identify the right Silicon Agent or delivery model, and show you exactly what the 6-week deployment looks like for your infrastructure. No obligation.
We respond within one business day. If we cannot identify a workflow where AI creates measurable value for your team, we will tell you that on the call.