Production AI Automation, Deployed in Your Cloud.

Tenant-local RAG and agentic workflows on Azure and AWS. SOC 2 / ISO 27001 ready by default. Production in 4-6 weeks.

Start your readiness assessmentSee how it works
01 // Capabilities

Foundational Expertise

We operate at the intersection of high-fidelity design and deep system architecture.

Enterprise RAG implementation

Retrieval that stays in your tenancy.

Your team spends hours every week digging through scattered documents, emails, and systems for answers that already exist somewhere. We build a private AI search layer that surfaces those answers in seconds, with sensitive data never leaving your cloud.

Production-grade RAG that addresses fragmented knowledge, unauditable hallucinations, and data egress, with nothing crossing your tenancy boundary.

How we implement it
  • Secure ingestion pipelines that filter, normalize and redact PII before indexing.
  • Tenant-local vector stores with BYOK KMS integration and strict network controls.
  • Retrieval tuning, prompt templates and reranking to improve factuality.
Key benefits & KPIs
  • >95% reduction in external data egress (typical Azure deployments).
  • 20-40% improvement in Precision@K on enterprise data lakes.
  • <200ms median retrieval latency for typical document stores.

Learn more in our Security Whitepaper or start with a technical readiness evaluation via the AI Readiness Assessment.

Agentic process automation

Workflow automation you can actually audit.

Repetitive operational work, lead routing, ticket triage, data entry, approval handoffs, eats your team's bandwidth and slows the business down. We automate that work with AI agents that operate inside controls you set, with a full audit trail for every action taken.

Deterministic orchestration with controlled LLM agents, autonomous on routine work and human-in-the-loop on exceptions, with every agent action logged and replayable.

How Nihilo delivers agentic automation
  • Define agent goals and safety constraints using reusable governance templates.
  • Orchestrate agents with event-driven serverless patterns for reliability and idempotency.
  • Integrate with ticketing, CI and observability stacks while enforcing RBAC and separation of duties.
Key benefits & KPIs
  • 60-85% reduction in manual steps (typical back-office deployments).
  • 30-70% MTTR reduction via automated triage and remediation.
  • 100% of agent actions logged, traceable, and replayable.

See practical examples for agentic automation on Azure and schedule a focused assessment via our AI Readiness Assessment or book a discovery call.

Cloud-native AI infrastructure

Inference at enterprise scale, on your terms.

When AI usage starts mattering to the P&L, infrastructure decisions go from theoretical to existential. We build the AI backbone that scales with your business, runs on the cloud you already use, and keeps cost predictable as volume grows.

Cloud-native AI platforms that treat model workloads as platform services, deployed in your tenancy with KMS integrations so you keep the keys.

Core implementation patterns
  • IaC modules (Terraform/ARM) with secure-by-default parameterization.
  • Autoscaling inference clusters, batching and model tiering to reduce per-request cost.
  • Telemetry for model drift, A/B evaluation and cost dashboards to enforce governance.
Key benefits & KPIs
  • 25-50% reduction in per-request inference cost via batching and caching.
  • Multi-zone failover and autoscaling meeting enterprise RTO/RPO.
  • Tenant-local deployments simplify SOC 2 / ISO 27001 evidence collection.

Read the deployment checklist in our Security Whitepaper or request a platform design review during your readiness assessment.

Client Success

Proven Automation in Production

Lettini Brothers Landscaping

Automated Azure-Native Lead Pipeline

How we built an Azure-native lead pipeline for a prominent NJ landscaping company that eliminated manual intake data entry and significantly reduced response times. The automated system reliably qualifies, scores, and routes inbound leads.

  • Eliminated manual data entry for 100% of inbound web leads.
  • Azure serverless architecture reduced hosting costs.
  • Automated follow-up sequences improved lead engagement rates.
100%
Automation Rate
< 1 min
Response Time
Zero
Manual Server Mgmt
02 // Trust posture

Your data stays in your cloud.

Most AI vendors ask you to send sensitive data into their environment and trust the contract. We deploy AI inside your own Azure or AWS tenancy, so customer data, regulated information, and proprietary content never leave.

That keeps you aligned with SOC 2 and ISO 27001 evidence requirements without adding a new vendor to your compliance scope. A breach involving an external AI vendor is a board-level event. Our architecture removes that risk vector by design.

Data never leaves your tenancy
No external egress on retrieval or inference.
SOC 2 and ISO 27001 aligned
Evidence collection stays inside your existing scope.
BYOK encryption
Your keys, your control, default for every deployment.
System Diagnostic Available

Ready for AI implementation?

Start Readiness Protocol

Security First Architecture

We deploy into your tenant and enforce zero‑trust controls by default. Data residency, BYOK KMS integrations, and enterprise encryption are core to every engagement.

  • Tenant-Local Deployment:
    Production workloads run in your Azure/AWS account under your control.
  • Zero‑Trust:
    Least-privilege IAM, microsegmentation, mTLS and ephemeral credentials.
  • Encryption:
    AES‑256 at rest, TLS 1.3 in transit, and client-managed keys.
  • Audit & Monitoring:
    Centralized logging to your SIEM, immutable retention, and EDR integrations.
Read Security Whitepaper

Operational Security Checklist

  1. 01Tenant-local deployments with role separation
  2. 02BYOK (Bring Your Own Key) and periodic rotation
  3. 03Zero‑Trust policies and conditional access
  4. 04Centralized SIEM forwarding and WORM storage
  5. 05Periodic pentests and SCA in CI pipelines
Sam Oakes - Co-Founder / AI Engineer at Nihilo

Sam Oakes

Co-Founder / AI Engineer

Sam designs and ships the systems. Background in cloud orchestration and tenant-local LLM infrastructure across regulated industries. Currently architecting AI and security platforms at LDI (managed services). Holds AWS Solutions Architect Pro, Azure Solutions Architect Expert, AWS Security Specialty, and aligns to CISSP. Writes the code on day one of every engagement.

Cloud Security
Tenant-Local Architecture
RAG Implementation
Agentic Systems
Jake Ice - Co-Founder / Head of Business Operations at Nihilo

Jake Ice

Co-Founder / Head of Business Operations

Driving commercial strategy, partnerships, and operations. Over a decade of B2B enterprise sales and operational scaling experience at leading SaaS and cloud consultancy providers. Specializes in aligning technical RAG and agentic pipelines with core business KPIs and client success initiatives.

Client Acquisition
Sales Operations
Proposals & BD
Financial Ops

Why this matters for you: When you engage Nihilo, you talk to the engineer who builds it and the operator who runs delivery. No account managers between you and the work. Two phone calls, one chain of accountability.

03 // Discovery

Sync with
Engineering.

We operate on a direct-access model. No account managers, no gatekeepers. Book a discovery session directly with the principals to discuss your cloud automation or AI roadmap via Microsoft Teams.

Teams Virtual Session

30-minute technical alignment & initial audit.

Direct Availability

Real time scheduling for current project cycle.

Discovery Call

Start Readiness Protocol

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