GSA MAS Contractor · #47QTCA26D000K · Virginia · Est. 2015

Modern operations
built for the AI era.

Cloud, data, and AI implementation delivered by senior practitioners. GSA MAS contracted. Ten years. We don't hand you a roadmap. We build the thing.

10+years
Operating since 2015
150+clients
Engagements delivered
3core pillars
Cloud, data, AI — ships in 60–120 days
GSA MAS#47QTCA26D000K
Federal contract vehicle
About Ingress
Founded · 2015 Headquartered · Virginia, USA Contract · GSA MAS #47QTCA26D000K AI Division · Otonmi

Ingress delivers production-grade cloud, data, and AI for organizations from SMB through federal: companies building their first data platform, enterprises modernizing multi-cloud programs, and agencies with cleared requirements and compliance boundaries. One operating model across all of them: senior practitioners who scope and build the same engagement. GSA MAS-contracted, cleared bench access, and ten years shipping cloud migrations, data platforms, and AI workflows. We don't hand you a roadmap. We build the thing.

GSA MAS · Cleared staffing · SMB to Federal · 150+ clients · Est. 2015
Capabilities

Three pillars.One delivery team.

Cloud, data, and AI: each a working practice with senior practitioners and a real delivery method. IT staffing and digital strategy support every engagement. Most federal and enterprise programs draw from two or three pillars at once. One firm. No handoffs.

AI Implementation / Otonmi Powered by Otonmi

AI that ships.
Not strategy decks.

78 percent of organizations have AI pilots. Only 14 percent have a production agent at scale. Otonmi fixes that. Model-agnostic, workflow-level implementation built to reduce operational dependency in ways you can measure. FedRAMP-aligned and air-gapped deployments available.

Claude 4 Gemini 2.5 Llama 3 Aizen Event FedRAMP
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Model-agnostic — Claude, GPT, Gemini, Llama
Active
Aizen Event decision methodology
Proprietary
Air-gapped & FedRAMP-aligned deployments
Federal
Ships to production in 60 to 120 days
Outcome
01 / Cloud

Cloud built around
the workload.

We pick the platform that fits. AWS, Azure, or GCP. Migrate, modernize, and run it inside the compliance boundary your work requires. We are not paid by any hyperscaler.

AWS GovCloudAzure GCC-HGCPFinOps
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02 / Data

Data that decisions
actually trust.

Pipelines, lakehouses, semantic layers, and BI built so AI can sit on top without hallucinating. Snowflake, Databricks, or Microsoft Fabric. dbt and Iceberg. Tableau and Power BI.

SnowflakeDatabricksFabric
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03 / Staffing

Senior-grade talent.
Cleared when needed.

Cloud, data, AI, security, and program management talent. Pre-vetted. Cleared resources available through GSA MAS. Backed by our delivery practice, not a resume stack.

ClearedCloud EngData EngAI Eng
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04 / Strategy

Strategy that ends with
a system in production.

Roadmaps scoped to be delivered, not shelved. AI readiness, cloud target operating model, FinOps maturity, data governance. The strategy hands off into our delivery practice. No external handoff.

AI ReadinessFinOpsGovernance
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Aizen Method

How we ship.

Four stages from first conversation to a system in production. No black boxes. No surprise scope changes. Senior practitioners at every stage: the person who scoped the engagement is the person who builds it. Read the full methodology →

01

Diagnose

Workshops, system review, and a written brief. We map the operational landscape and identify where cloud, data, or AI create real leverage and where they don't. Aizen Event fires when we hit a decision point that changes scope or approach.

02

Design

A target architecture and phased plan with measurable outcomes. Compliance and security built into the design from day one. Federal engagements include FedRAMP and CMMC alignment from the first whiteboard session.

03

Deliver

Senior engineers and architects build the system. Cleared talent for federal and defense work. Continuous integration with your team. We do not hand off to junior staff after the kickoff call.

04

Operate

Runbooks, training, and managed support so the system stays reliable. Staff augmentation available to sustain velocity after launch. Engagements ship in 60 to 120 days; most clients have a production system before the quarter closes.

Markets We Serve

Built for organizations
at every scale.

Our engagement model adapts to context. The discipline is the same across a fast-growing SMB, a global enterprise, and a federal agency. The contract vehicles, governance, and pace differ.

SMB

Small & Mid-Sized Business

Right-sized teams of 25 to 500 that need senior-grade architecture without big-firm overhead. Cloud, data, and AI implementations that fit a real budget.

EngagementFixed-fee or T&M Timeline4 to 16 weeks
MM

Mid-Market

Growth-stage organizations modernizing past their early stack. Workflow automation, data platforms, and AI adoption tied to clear KPIs.

EngagementProgram delivery Timeline3 to 9 months
ENT

Enterprise & Fortune 500

Large-scale modernization, AI-at-scale rollouts, and embedded staff augmentation. Senior architects who integrate with internal teams, not pitch them.

EngagementMSA / Program Timeline6 to 24 months
GOV

Public Sector

Federal, state, county, defense, and higher education. Cleared talent, FedRAMP delivery, CJIS and StateRAMP alignment. GSA MAS available.

VehicleGSA MAS Contract#47QTCA26D000K
Industries

Domain depth
where it matters.

Compliance posture, data sensitivity, and regulatory pressure shape every decision. We work in industries where those things are not optional. Each vertical brings its own playbook and its own staffing pool.

Start a conversation

Start a conversation.
We'll send a written brief.

// 30 minutes → recommended approach, phased plan, cost ranges.

Bring your cloud migration, data platform, AI workflow, or staffing challenge. We return with a written brief: the recommended approach, a phased plan, and honest cost ranges. GSA MAS contract #47QTCA26D000K available for federal agencies. Reply in under 24 hours.

Emailconnect@ingressits.com
GSA MAS#47QTCA26D000K
Reply< 24 hrs