Enterprise AI consulting and modernization. Done properly.
SkyView Labs delivers enterprise AI consulting, legacy modernization, and system integration to mid-market and enterprise organizations nationwide. We modernize the systems underneath, integrate the data above them, and embed AI directly into the workflows your team actually runs — deployed in any of four secure configurations matched to your data sensitivity, compliance posture, and operational constraints.
AI only works if the systems underneath are modern.
Most AI consulting firms are a thin application layer over a public AI API. SkyView Labs is structurally different — we modernize the legacy systems underneath, integrate the data above them, and embed AI directly into the workflows that run your operation. Then we deploy the result in the configuration that fits your data, compliance, and operational reality.
Not a pilot. Not a slide deck. Working software your team uses on day one.
Workload-scaled monthly engagements. No surprise bills when your users behave like users.
Our private cloud, hybrid, or fully on-premises in your data center. You pick what fits.
Managed Operations is the default, not the upsell. The team that builds it runs it.
How to start an engagement
Three doors in, one engagement model out.
Discovery first
You know you need AI but haven't scoped it. We deploy behavioral telemetry agents for 14 days, run AI analysis over the results, and deliver a prioritized, evidence-backed opportunity map. $10k–$25k flat, credited against any build within 90 days.
How our discovery works →Build first
You know what you want built. We scope, design, develop, integrate, deploy — and transition into Managed Operations. 4–12 weeks to production for most engagements.
Custom AI Applications →Hosting + ops first
You have AI workloads outgrowing public APIs (cost, compliance, latency, sovereignty). We host on our private cloud or install on-prem at your data center. Monthly retainer scaled to workload.
Private AI Cloud Hosting →Four deployment options. Same private-AI default.
The architecture under every SkyView engagement is private-AI-first. What differs is where the workload runs — and that depends on your data, your compliance posture, and the operational risk profile your buyers and auditors will accept. The four configurations below cover the practical surface.
Architecture diagram showing four deployment options for the SkyView AI stack: on-premises in your data center (air-gap supported), in your existing public cloud tenancy (Azure, AWS, or GCP), in the SkyView private AI cloud, or hybrid mixing the surfaces per workload. Same engineering, same managed operations across all four.
Installed inside your perimeter
We design, build, and install the entire SkyView stack — models, vector DB, retrieval, observability — in your data center. Air-gapped supported. Your hardware, your perimeter, your security boundary. Right answer when sovereignty, ITAR, or compliance constraints rule out external hosting.
- Best for
- Sovereignty · ITAR · regulated
- We handle
- Spec · procure · rack · operate
- Pricing
- Install + monthly managed-ops
- FedRAMP-adjacent posture available
- Hardware itemized at cost, no markup
- Managed operations remote or on-site
Deployed in your existing hyperscaler
Architected, deployed, and operated inside your existing Azure, AWS, or GCP account — wherever you've standardized. We work within your IAM, network controls, and existing reservations, and integrate with the workloads already running there. Right answer when your AI workloads should live inside the cloud boundary you already operate.
- Best for
- Existing hyperscaler standardization
- You own
- The cloud account, IAM, network
- We deliver
- Architecture, build, managed-ops
- Native to your existing cloud spend + commitments
- Integrates with managed AI services (e.g., Bedrock, Azure OpenAI, Vertex) where relevant
- Documented data flows + tenant-isolated configuration
Hosted by us — turnkey environment
Self-hosted models, vector DB, retrieval, and observability running in Kubernetes across our facilities. Right answer when you want a turnkey hosted environment without standing up your own AI infrastructure or competing for cloud capacity.
- Best for
- Turnkey · no internal infra build
- Time to launch
- Fastest · single engagement
- Pricing
- Workload-scaled monthly
- SOC 2 / HIPAA / ISO 27001 / PCI DSS facility attestations
- 24/7 NOC backed by Spectrum Virtual since 2013
- Bundled into a single predictable monthly engagement
A mix of the above, per workload
Most enterprise deployments don't fit a single box. Sensitive workloads on-prem, hot-path inference in your cloud, frontier reasoning routed to a public API by exception — all under one engagement. Every external call is scoped, documented, and approved before the integration ships.
- Best for
- Mixed workloads · cost-optimized
- Public APIs
- Exceptions · not the default
- Documentation
- Data flow report per engagement
- Default-private; exceptions explicit and approved
- One engagement spans multiple deployment surfaces
- Integrates with M365 Copilot for the M365 surface
Across all four configurations, the engineering team is the same, the security posture is the same, and the legal entity behind the contract is the same — Spectrum Virtual, operating production environments since 2013. The deployment choice belongs to you.
Why private AI — and why SkyView
Most AI consulting firms are a thin application layer over OpenAI or Anthropic's APIs. When a foundation-model provider raises pricing, sunsets a feature, changes data-handling terms, or has a regional outage, those firms have no response. You inherit their dependency. For mid-market and enterprise buyers with sensitive data, regulated workloads, predictable-cost mandates, or vendor-lock-in scars from previous SaaS cycles, that architecture is increasingly disqualified.
SkyView engagements are private by default. Whether the workload runs on our cloud, on your premises, or in a hybrid that selectively uses public APIs, the engineering team is the same, the security posture is the same, and the data-flow document on every engagement names every component, every integration, and every external call. The default is private; the exceptions are explicit and approved.
And the legal entity behind every contract is Spectrum Virtual — a 12-year-old IT services organization running production infrastructure for a real client base. Every SkyView engagement contracts with that entity, is operated by that team, and inherits its operational continuity. The risk profile is the risk profile of an established IT services parent — not a 2-person AI startup.
Anywhere · remote + on-premises
We work with serious operators wherever they are. Same engineering team, same private cloud, same managed-operations model — engagements run fully remote when geography demands it. For enterprises with strict data sovereignty, air-gap requirements, or sub-1ms latency mandates, we install the entire SkyView stack inside your perimeter — anywhere on the planet a 19" rack will fit.
Mid-Atlantic, South, West Coast
We work fully remotely with serious operators in DC, the Carolinas, Atlanta, Texas, Denver, Salt Lake, the Bay Area, LA, and Seattle. Same engineering team. Same private cloud. Same managed-ops model. Travel for kickoff and milestones when it earns its keep.
Canada
We support Canadian clients out of our private US cloud or via on-premises deployment in your data center. Data residency questions handled in scoping.
Anywhere on-premises
For enterprises with strict data sovereignty, air-gap requirements, or sub-1ms latency mandates: we install the full SkyView stack inside your perimeter, anywhere on the planet a 19" rack will fit.
Service area — frequently asked questions
The questions we get most often, answered. If yours isn't here, ask it on a 30-minute call — we answer the awkward ones too.
Which states does SkyView Labs serve?
Where is SkyView Labs located?
How fast can you start an engagement?
Do you support state-specific procurement and compliance?
What if my state isn't listed?
How long does a SkyView Labs AI engagement take?
How much does AI consulting cost?
Where will my data be hosted?
Find us where you are.
We work with organizations nationwide. Start a 30-minute conversation and we'll tell you fast whether we're the right firm for the work.