Now booking AI Production Readiness Sprints for 2027

AI that runs in production, operated by the team that built it.

Aevora builds, deploys, runs, and secures AI systems for mid-market companies. One accountable partner from the first line of code to the 3 a.m. incident, backed by service levels.

Based in Dallas–Fort Worth. Model-neutral and cloud-neutral.

25%

of enterprises have moved 40% or more of their AI pilots into production. The models are ready. The engineering, data, and operations around them usually are not. That gap is the work we do.

Source: Deloitte, State of AI in the Enterprise 2026
How every engagement works

Build it. Ship it. Run it. Protect it.

Most firms hand you a system and leave. We stay on and operate it, so a single project grows into a managed relationship with one team accountable for results.

01

Build

We engineer the AI system and the data foundation it depends on.

AI softwareData engineering
02

Deploy

We put it into your live workflows, systems, and teams.

Implementation
03

Run

We monitor, tune, and improve it every day under service levels.

Managed servicesPlatforms
04

Protect

Security wraps every stage, from architecture to detection.

Cybersecurity

Up to 20% of our managed-service fee can be tied to the outcomes we agree on with you.

Services

Six disciplines. One operating team.

Each service line stands on its own, and each is built to hand off cleanly to the next. Engineers, data specialists, and security staff work in the same pod on your account.

AI software development

Custom agents, copilots, and AI features built to your requirements and shipped in fixed-scope builds of 8 to 16 weeks.

  • Agents and copilots for real workflows
  • Document and workflow automation
  • AI features inside your own products
  • LLM integrations and retrieval systems
Typical engagement8–16 week build

AI managed services

We operate your AI systems around the clock: monitoring, incident response, model and prompt tuning, and monthly performance reviews.

  • SLA-backed operations, 99.5%+ attainment target
  • Usage and cost optimization
  • Drift detection and continuous evaluation
  • Essential, Professional, and Enterprise tiers
Typical engagement12–36 month contract

AI implementation

Hands-on deployment into the systems you already run: CRM, ERP, ticketing, and data platforms. Testing, rollout, and user training included.

Typical engagement4–12 weeks

Data engineering and AI services

Pipelines, lakehouses, data quality, MLOps, and model training. Most AI projects stall on data; we fix that first.

Typical engagement6–20 weeks

Cybersecurity

AI security assessments and red-teaming, secure architecture, identity hardening, and managed detection for the systems we operate.

Typical engagementAssess, then manage

AI platforms

Reusable components for orchestration, evaluation, and monitoring that we license to clients and use on every engagement. Each project starts faster than the last. Explore the platform

The Aevora platform

The tooling behind every system we run.

Three components, built from patterns proven across client projects. You own your data and your custom code; we maintain the platform underneath.

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Why an operating company

We are measured by what runs, not what we recommend.

Aevora does not sell strategy decks or roadmaps. Every engagement ends in working software, and most continue as systems we operate for you.

 
Typical AI consulting agency
Aevora
What you get
Recommendations, roadmaps, slide decks
Working software and operated systems
Engagement
Short projects, then exit
Build, then run under multi-year contracts
Accountability
Quality of advice
Uptime, accuracy, and business outcomes under SLAs
Pricing
Hourly or project fees
Fixed-price builds plus outcome-linked managed fees
Relationship
Episodic
Continuous and embedded in your operations
Industries

Built for companies with real workloads and lean teams.

We work with mid-market companies of 200 to 5,000 people: large enough to have serious AI budgets, too lean to staff a full in-house AI and security organization.

Healthcare services

Heavy document and admin workloads under strict security rules.

Intake automationClinical-ops copilots

Manufacturing

Rich operational data, scarce AI talent on staff.

Quality inspectionPredictive maintenance

Logistics and distribution

High-volume, repetitive workflows where minutes add up.

Order exceptionsDispatch assistants

Professional services

Knowledge work at scale across documents and contracts.

Contract reviewKnowledge agents

B2B software

Product teams that need AI features shipped quickly and safely.

Embedded copilotsEval pipelines

Energy and utilities

Large asset bases where security is critical.

Field-ops assistantsOT-aware security

Financial services

Document-heavy, highly regulated work where accuracy and audit trails matter.

Document processingCompliance monitoring

Real estate

Large portfolios of leases, properties, and tenant requests to manage.

Lease abstractionTenant service agents
Approach

From first conversation to production in weeks.

Small cross-functional pods own your account end to end. Evaluation suites run from the first sprint, so quality is measured long before launch.

1

Discover

1–3 weeks

Review data, systems, and security readiness.

2

Build

Two-week sprints

Iterative development with evaluations from day one.

3

Deploy

Staged rollout

Training, acceptance tests, and a controlled go-live.

4

Run

Ongoing, under SLA

Continuous evaluation, cost tracking, and drift detection.

5

Improve

Quarterly

Reviews that tune performance and add the next use case.

3 weeks · fixed price

AI Production Readiness Sprint

Find out what it takes to get AI into production at your company, and leave with a working prototype.

  • Data, integration, and security assessment
  • A working prototype on your own data
  • A costed plan to reach production
Book a sprint
6 weeks · fixed price

Pilot-to-Production

Take one stalled AI pilot live, with the option to have us run it afterward.

  • Hardening, integration, and evaluation
  • Production rollout and user training
  • Managed-services option from launch day
Discuss a pilot
Pricing

Clear pricing, set before work begins.

Every system is different, so we quote each engagement after a short scoping call. What stays the same is how we price: fixed scopes, predictable monthly plans, and no open-ended hourly billing.

Projects

Fixed priceAgreed up front, paid by milestone

For building something new or getting a stalled pilot live.

  • AI Production Readiness Sprint
  • Pilot-to-Production
  • Custom builds and implementations
  • Data engineering projects
Get a project quote
Where most engagements lead

Managed services

Monthly planEssential, Professional, or Enterprise

For AI systems we operate for you after launch, backed by service levels.

  • Monitoring, tuning, and incident response
  • Managed cybersecurity for operated systems
  • Monthly performance reviews
  • Optional fee tied to the outcomes you care about
Talk about a plan

Platform

Annual licenseSized to your workloads

For teams that want Aevora's tooling under their own AI systems.

  • Aevora Agent Runtime
  • Aevora Evaluate
  • Aevora Observe
  • Updates and support included
Ask about licensing
No surprise invoicesScope and price are agreed in writing before any work starts.
Pay for resultsManaged plans can link part of the fee to the KPIs we agree on together.
Start smallMost clients begin with a short fixed-price sprint before committing to more.

Detailed pricing is shared during scoping. Plans and packages may change as we work with our first clients.

Security

Secure by design, because we have to run it.

Security is one of our six service lines, not a subcontract. The engineers who build your system harden it, and the team that operates it watches it.

  • Your data stays yours. We deploy inside your own cloud tenant when you need it.
  • Audit logging and runbooks for every system we operate.
  • Model-neutral. We choose models per use case on accuracy, cost, and data residency.
SOC 2Security, availability, confidentialityType II planned for 2028
ISO/IEC 27001Information security managementAligned; certification planned
ISO/IEC 42001AI management systemsAligned; certification planned
NIST AI RMFAI risk management frameworkAligned
The Aevora mark
Aevora comes from aevum, the Latin word for an age or a lifetime. We build intelligence for companies that intend to last.

Our standard is simple: production over pilots, ownership over handoffs, and focus over breadth. We would rather do six things deeply than twenty things on paper.

Production over pilotsSecure by designAccountable ownershipEngineering rigorFocus

Have a pilot that never shipped?

Tell us what you are trying to get into production. An Aevora engineer, not a salesperson, will reply with a first view of what it takes.

Headquarters · Dallas–Fort Worth, Texas
Serving · Dallas, Austin, Houston, and clients across the US

We reply to every message by email.