Forward-Deployed Engineering for Enterprise AI

Building agents is solved. Running them governed, at scale, in production is not. Our engineers embed with your team and take stuck pilots to governed production on the CreateOS platform, in weeks.

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ISO 27001 and SOC 2 Type II certified
3 years in production AI
100+ LLMs accessible
Model-agnostic by default

We Don't Hand You a Platform. We Get You to Production.

Building agents is solved. Running them, governed and at scale, is the unsolved 90%. We walk the last mile with you.

Platform plus forward-deployed engineering

Our engineers embed, re-architect the process for agents, and do the context engineering that makes them reliable.

Start with one stuck pilot

Point us at a stuck, high-stakes pilot. We get it to governed production in weeks, then it spreads.

Delivered at scale

A certified partner ecosystem extends delivery, so onboarding speed never caps out at how fast we can hire.

Time to first production agent, measured in weeks.

The Platform Under the Engagement

Every engagement delivers on the same stack: data and integrations at the base, agent deployment at the top. The engineers roll off; the governed layer stays.

Agent DeploymentRAG, workflow, and advanced orchestration for multi-agent teams.

Application ExperienceLow-code UI generation and adaptive frontend delivery.

Workflow AutomationVisual builders, parallel branching, and inline code execution.

Context and KnowledgeSemantic mapping and enterprise knowledge graphs.

Data and OntologyDistributed stream processing into a golden system of record.

Embedded IntegrationsGoverned connectors to enterprise systems like SAP, Salesforce, and Workday.

What an Engagement Builds

Six capability areas, one accountable team. Scoped to the workflow, delivered to production.

AI Agents & Multi-Agent Systems

Agents that reason, plan, and execute multi-step work, governed and auditable at every step. Single agents or coordinated teams.

Litigation review agents that cut hours of manual reading
Support agents that resolve the full ticket lifecycle with clean human handoff
Multi-agent pipelines for financial analysis, drafting, and approvals

LegalFinancial ServicesOperations

RAG & Enterprise Knowledge

Retrieval-Augmented Generation that grounds every answer in your own documents and data, with citations and access controls.

Knowledge bases that answer from approved internal sources, scoped by role
AI search across matter files, policies, and systems of record
Compliant Q&A for legal, healthcare, and regulated operations

LegalHealthcareFinancial Services

LLM Integration, Routing & Evaluation

Connect your product or internal tools to any of 100+ models, routed by task and benchmarked against your actual use case before you commit.

Unified API layers that route to the best model per task, with failover
Custom benchmarks built on your business metrics, not generic leaderboards
Post-deployment monitoring, cost tracking, and model swaps without rebuilds

TechnologyEnterprise

Computer Vision & Industrial AI

Turn video and images into governed operational intelligence, on-premise or at the edge.

CCTV compliance and oversight: proven on 50,000+ hours across four states
Quality inspection and defect detection on the factory floor
Document scanning and medical imaging analysis with a human in the loop

ManufacturingHealthcareLogistics

Data Engineering, ML & AI Pipelines

The foundation that makes AI reliable in production: clean data, fast retrieval, custom models, automated model ops.

Ingestion, cleaning, and labeling pipelines feeding governed agents
Vector databases and embedding infrastructure for RAG and search
Fraud detection, forecasting, and risk scoring trained on your data

Financial ServicesEnterpriseManufacturing

AI Strategy & Roadmap

For teams that know AI matters but need the pilot picked, the case made, and the rollout sequenced before anything is built.

Readiness assessment and stuck-pilot audit across the org
Discovery sprints that produce a concrete roadmap and build spec
ROI modeling and stakeholder alignment for the security and risk review

All industries

Generative AI services

A focused engagement for enterprise generative AI: from stuck pilot to governed production on the unified AI execution layer. Strategy, RAG, agents, model routing, and LLMOps, delivered by forward-deployed engineers.

Explore generative AI

Accelerated Deployment

From your first agent to production in 12 weeks. A controlled rollout across three gated phases of escalating autonomy, so value lands early and governance holds at every step.

First agentProduction · 12 weeks

Weeks 1–4 · Crawl

Supervised

First agents in production, fully logged and governed.

ShipsHigh-volume, low-risk automation: invoice processing, IT helpdesk.

GatePolicies enforced on 100% of agent calls; audit log streaming to your SIEM.

Weeks 4–8 · Walk

Assisted

Higher-stakes workflows, same guardrails.

ShipsPlanning workflows: demand forecasting, territory planning.

GateForecast-accuracy lift validated; zero policy exceptions.

Weeks 8–12 · Run

Governed-autonomous

Governed autonomy on strategic decisions.

ShipsStrategic intelligence: pipeline intelligence, attrition prediction.

GateEvery strategic output traceable to policy and source; nothing unsupervised.

See your tailored 12-week rollout

An Accountable Partner, Not a Tool Vendor

The platform under the engagement

Your agents run on CreateOS, the unified AI execution layer we build and operate ourselves. The engagement ends; the governed layer stays.

Embedded, not outsourced

Forward-deployed engineers work inside your team and your environment, not from behind a ticket queue.

Governed from day one

Policy enforcement, output validation, and a full audit trail are on from the first call, not bolted on before the audit.

Model-agnostic by default

Not locked to any provider. We benchmark models against your actual data and swap them without rebuilding your product.

Fixed pricing, no surprises

Deliverables, timeline, and cost agreed in writing before we start. No retainer ambiguity, no hourly overruns.

You own everything

All IP, code, and models are yours outright. We document everything and train your team so you are never dependent on us.

The Engagement, from Pilot to Scale

01.

Pick the pilot

Point us at one stuck, high-stakes workflow. Free discovery call, no commitment.

02.

Scope & price

Deliverables, timeline, and fixed pricing in writing before we start.

03.

Embed & build

Our engineers embed with your team, re-architect the process for agents, and do the context engineering that makes them reliable. Progress visible every week.

04.

Govern & scale

The workflow goes live on the execution layer, policy enforced and fully logged. Then it spreads to the next one.

Tech we work with

OpenAI GPTAnthropic ClaudeMistralLLaMADeepseekGoogle GeminiCohereLangChainLlamaIndexPyTorchTensorFlowPineconeWeaviateAWS BedrockAzure AIGoogle Cloud AINext.jsNode.jsPythonDockerKubernetesMLflow

Selected Outcomes

WhatsApp AI assistant and booking engine for a client services company

Built a three-layer agent system: a booking engine, WhatsApp AI assistant via Meta Cloud API, and a real-time ops dashboard, all routing through a unified LLM layer.

Faster booking resolution vs. manual process

Unified LLM API layer with RAG and cost tracking for an AI SaaS platform

Integrated 100+ LLM models into a single routing layer with RAG knowledge retrieval, automatic fallback handling, and per-model cost tracking.

60%

Reduction in model-related operational overhead

Full-stack AI deployment platform for an institutional infrastructure client

Designed and deployed a cloud infrastructure and scaling platform requiring enterprise-grade reliability and consistent uptime across all production environments.

3 years

Running in production for an institutional client

See case studies

What Partners Say

“The team understood our infrastructure requirements from day one. What would have taken us months internally, they shipped in weeks and it held up in production.”

Head of Infrastructure · Maven11

“We evaluated three AI vendors. CreateOS was the only one that came back with a proposal grounded in our actual data environment, not a generic pitch deck.”

Product Lead · Kodeus

Common Questions

What is forward-deployed engineering?

Forward-deployed engineering means our engineers embed with your team to take a specific workflow from stuck pilot to governed production. They re-architect the process for agents, do the context engineering that makes them reliable, and ship on the CreateOS execution layer. You get platform plus people, not a license and a wish of good luck.

How is this different from hiring an AI agency?

An agency hands you a build on tools it doesn't control and leaves. A forward-deployed engagement delivers on the execution layer we operate ourselves: routing, governance, output validation, and audit stay enforced after the engineers roll off. The engagement ends; the governed platform stays.

We already built agents. Can you take them to production?

Yes, that is the most common engagement. Bring agents from any framework or builder. We wire them into the governed path, add the policy enforcement and audit trail your security team requires, and stand them up in your environment.

How long until the first agent is in production?

The standard rollout is 12 weeks across three gated phases of escalating autonomy. The fastest comparable deployment went from pilot to full production in 75 days across four states. Simpler integrations can go live in under two weeks.

Do you work with companies new to AI?

Yes. Those engagements start with AI Strategy & Roadmap: we assess your current setup, pick the highest-impact pilot, and produce a concrete build spec before any development begins. You do not need to know what to build. That is our job.

Which LLMs do you work with?

All of them. Through the CreateOS router we have access to 100+ models including GPT, Claude, Mistral, LLaMA, Deepseek, and Gemini. We evaluate and recommend based on your requirements, not partnerships.

Do we own everything that gets built?

Yes. All code, models, data pipelines, and IP are yours outright. We document everything and can train your internal team to manage what we have built.

How does pricing work?

Fixed-scope engagement pricing, not hourly retainers. Every engagement starts with a discovery call and a proposal specifying deliverables, timeline, and a fixed cost. Larger ongoing builds run on milestone-based contracts.