Markovate - Generative AI Development Company

Forward Deployed AI Engineers. Inside Your Business. Building What Matters.

Embed experienced AI engineers directly into your operations to design, develop, and deploy enterprise AI solutions around your actual workflows.

Markovate’s forward deployed engineers work alongside your teams, onsite or remotely, to turn complex business challenges into production-ready AI systems. From enterprise integrations to intelligent automation, we build AI that operates within your existing infrastructure and delivers measurable business value.

Onsite EngineeringEnterprise AI IntegrationProduction DeploymentEnd-to-End Ownership
Forward deployed AI engineers embedded in an enterprise environment, connecting ERP, CRM, data, documents, legacy systems and teams into production AIYOUR ENVIRONMENT● ENGINEERS EMBEDDEDERPData WarehouseLegacy SystemsCRMDocumentsYour TeamsFDEMARKOVATEProduction AILIVE · MONITORED · OWNED
● LIVE LOG
› discover — mapping workflows with your operations team
› integrate — connecting AI to ERP, CRM and internal data
› validate — human review and guardrails in the loop
› deploy — shipped to production, monitoring on
› discover — mapping workflows with your operations team

“We don’t just build AI for your enterprise. We build it with your people, inside your workflows, and deploy it where your business operates.”

AI Engineering That Happens Where Your Business Happens

Traditional AI consulting often ends with recommendations, prototypes, or a development roadmap. Forward deployed engineering goes further.

Forward deployed engineers (FDEs) are software and AI engineers who work directly with an organization’s business and technical teams to develop, integrate, and deploy custom solutions within its operational environment.

At Markovate, our forward deployed AI engineers bridge the gap between business requirements and technical execution. Instead of building AI solutions in isolation, our engineers understand your processes, work with your data, connect existing enterprise systems, and develop solutions that fit how your organization operates.

The result is enterprise AI built around your business, rather than requiring your business to adapt to another software platform.

Your Business Doesn’t Need Another AI Pilot. It Needs AI That Works.

Many enterprise AI initiatives struggle because implementation happens too far from the people, systems, and processes they are meant to improve. Markovate’s forward deployed engineering model brings technical execution directly into your operating environment.

Engineering Embedded in Your Workflow

Our engineers collaborate with your employees, understand operational dependencies, and build AI solutions around real business requirements.

Faster Path From Concept to Production

Reduce lengthy coordination cycles between consultants, development vendors, and internal stakeholders. Our embedded engineering approach keeps decisions and implementation closely connected.

Built Around Your Existing Technology

Integrate AI with enterprise applications, internal databases, legacy systems, and proprietary software without replacing your existing technology stack.

Enterprise Security by Design

Design AI systems around your organization’s data-access policies, infrastructure requirements, governance controls, and security standards.

Ownership Beyond Deployment

From initial discovery to production monitoring and knowledge transfer, our engineers help establish solutions your internal teams can operate and extend.

Business Outcomes Drive Engineering Decisions

Every engagement begins with a defined business objective, such as reducing processing time, improving operational accuracy, increasing throughput, or eliminating repetitive work.

What Our Forward Deployed AI Engineers Build

Markovate offers forward deployed engineering services across the enterprise AI implementation lifecycle, from custom AI development and AI agent development to secure production deployment.

01

Custom Enterprise AI Development

Build AI applications tailored to complex enterprise requirements, proprietary workflows, and industry-specific operations.

Our engineers develop intelligent systems that combine large language models, machine learning, enterprise data, and business logic.

Custom AI ApplicationsLLM IntegrationAI-Powered SoftwareEnterprise AI Platforms
02

AI Agents & Intelligent Workflow Automation

Deploy AI agents capable of performing business tasks, retrieving information, interacting with applications, and supporting decisions across connected systems.

We design human oversight, validation mechanisms, and execution controls into workflows where accuracy and accountability matter.

AI AgentsAgentic WorkflowsMulti-Agent SystemsBusiness Process Automation
03

Enterprise AI Integration

Integrate artificial intelligence into existing enterprise infrastructure, enabling businesses to adopt AI without rebuilding their technology environment.

Our forward deployed engineers connect AI capabilities with business applications, databases, APIs, and internal systems.

ERP IntegrationCRM IntegrationAPI DevelopmentLegacy System IntegrationEnterprise Data Connectivity
04

AI Data Engineering & Knowledge Systems

Transform fragmented enterprise information into accessible, structured, and actionable intelligence.

We build AI-powered retrieval systems, knowledge architectures, and data pipelines that help teams work with information across documents, applications, and internal repositories.

RAG SystemsEnterprise SearchData PipelinesKnowledge GraphsDocument Intelligence
05

AI Model Deployment & Optimization

Move AI solutions beyond experimentation with production architecture, model evaluation, performance optimization, and operational monitoring.

Our engineers help organizations select appropriate models, optimize inference costs, and develop reliable AI infrastructure.

LLMOpsModel EvaluationAI InfrastructurePerformance OptimizationProduction Monitoring
06

Secure & Private AI Deployment

Implement AI solutions within infrastructure environments aligned with enterprise security and data residency requirements.

Depending on technical feasibility, we support cloud, private cloud, hybrid, and on-premise AI deployment architectures.

Private AIOn-Premise AIAccess ControlsData GovernanceDeployment Architecture

From Your Business Problem to Production AI

Our forward deployed engineering process connects discovery, development, and deployment through close collaboration with your operational teams.

STAGE 01 / 06

01. Discover

What we do

Work directly with stakeholders to understand workflows, bottlenecks, systems, and data.

What you get

Prioritized AI opportunities and measurable objectives.

STAGE 02 / 06

02. Embed

What we do

Deploy engineers onsite, remotely, or through a hybrid engagement.

What you get

Engineers working directly with your teams and technology.

STAGE 03 / 06

03. Architect

What we do

Define solution architecture, integrations, security requirements, and model strategy.

What you get

An implementation blueprint aligned with your infrastructure.

STAGE 04 / 06

04. Build & Integrate

What we do

Develop AI applications and connect them with enterprise systems.

What you get

Working AI capabilities integrated into business workflows.

STAGE 05 / 06

05. Deploy & Optimize

What we do

Validate, deploy, monitor, and improve system performance.

What you get

Production-ready AI with performance and governance controls.

STAGE 06 / 06

06. Transfer & Scale

What we do

Document the solution, enable internal teams, and identify expansion opportunities.

What you get

Operational ownership and a foundation for scaling AI.

AI Solutions Built Around Your Most Critical Business Workflows

Our forward deployed engineers help enterprises implement AI in workflows where manual processes, fragmented information, and disconnected systems limit efficiency.

Sales & Revenue Operations

Automate RFP processing, sales research, proposal generation, CRM updates, and customer intelligence to help revenue teams respond faster and improve execution.

Finance & Accounting

Build AI workflows for invoice processing, financial document extraction, reconciliation support, exception handling, and reporting across financial systems.

Procurement & Supply Chain

Connect purchase orders, supplier information, inventory records, and operational data to improve procurement visibility and automate repetitive coordination tasks.

Manufacturing & Engineering

Transform engineering drawings, technical documents, and production information into structured intelligence for estimating, material planning, quoting, and engineering workflows.

Customer Support & Service Operations

Deploy AI agents to retrieve knowledge, classify requests, assist support teams, and automate routine service workflows with appropriate human escalation.

Enterprise Knowledge & Document Processing

Enable teams to search, compare, extract, and analyze information across contracts, technical documentation, policies, drawings, and internal knowledge repositories.

More Than Engineers. A Team That Knows How to Build AI Products.

Forward deployed engineering requires more than technical expertise. It requires the ability to translate complex business requirements into AI systems that work reliably in production.

Markovate combines enterprise AI development experience with hands-on product engineering to help organizations build and operationalize AI.

PROPRIETARY AI TECHNOLOGY EXPERIENCE

CADIAM™ Drawing Intelligence

Our work includes CADIAM™, our patented Drawing Intelligence technology, developed to understand complex engineering drawings and support connected workflows across technical documents.

See CADIAM™ in AI Blueprint Classifier →

Product Engineering Experience

We bring practical experience building AI-powered products, not just advising companies on how to adopt artificial intelligence.

Full-Stack AI Expertise

Our engineering capabilities span AI models, data infrastructure, application development, enterprise integrations, and production deployment.

Flexible Deployment Models

Engage our engineers through onsite, remote, or hybrid delivery models according to the needs of your enterprise.

Technology-Agnostic Architecture

We select models, frameworks, and infrastructure based on enterprise requirements rather than forcing every customer into a single AI ecosystem.

Built for Enterprise Adoption

Our approach considers security, integration complexity, human validation, performance, and ongoing operations from the beginning.

Flexible Forward Deployed Engineering Engagements

Different AI initiatives require different levels of engineering involvement.

Onsite Forward Deployed Engineers

Our engineers work directly at your location, collaborating with stakeholders and operational teams to develop and implement AI solutions within your environment.

Best for

Complex enterprise workflows, intensive discovery, sensitive integrations, and cross-functional implementations.

Hybrid Forward Deployed Engineering

Combine onsite engagement with remote engineering support to maintain close business alignment while accessing broader technical expertise.

Best for

Enterprise AI programs requiring ongoing collaboration and scalable development capacity.

Dedicated Remote AI Engineering Team

Embed Markovate’s engineers into your existing development and business workflows through structured remote collaboration.

Best for

Organizations with established requirements, accessible systems, and distributed teams.

We Measure What Changes in Your Business. Not Just What Gets Built.

The success of forward deployed engineering isn’t determined by the number of AI models integrated or applications developed. It’s determined by how effectively those systems improve your operations. Markovate helps organizations establish measurable performance objectives before implementation.

Operational Efficiency

Reduce time spent on repetitive business activities.

Processing Accuracy

Improve consistency through AI-assisted validation and structured workflows.

Workforce Productivity

Enable teams to focus on judgment-intensive and revenue-generating work.

Cost Optimization

Reduce operational overhead and improve resource utilization.

Faster Decision-Making

Make enterprise information accessible and actionable across business functions.

AI Adoption

Move AI solutions into everyday operations with defined users, controls, and ownership.

Frequently Asked Questions About Forward Deployed Engineers

What is a forward deployed engineer?

A forward deployed engineer (FDE) is a software engineer who works directly with a customer’s team to design, develop, integrate, and deploy technology solutions within the customer’s business environment. Forward deployed AI engineers specialize in implementing artificial intelligence, machine learning, AI agents, and related technologies in enterprise workflows.

What do forward deployed AI engineers do?

Forward deployed AI engineers identify business requirements, develop custom AI applications, integrate models with existing enterprise systems, implement automation, and deploy solutions into production. They collaborate directly with stakeholders to ensure the technology addresses operational needs.

How is forward deployed engineering different from traditional AI consulting?

Traditional AI consulting typically focuses on strategy, recommendations, architecture, or implementation planning. Forward deployed engineering emphasizes hands-on development and deployment. Engineers work alongside the customer’s team and take direct responsibility for delivering functional AI solutions.

Can forward deployed engineers work onsite?

Yes. Markovate offers onsite, remote, and hybrid forward deployed engineering engagement models. Onsite availability depends on project scope, location, and engagement requirements.

What types of AI solutions can forward deployed engineers build?

Forward deployed engineers can develop enterprise AI agents, custom AI applications, intelligent document processing systems, enterprise search solutions, workflow automation, predictive models, and AI integrations with existing business platforms.

Can AI be deployed within our existing infrastructure?

Yes. Enterprise AI solutions can be designed for cloud, private cloud, hybrid, or on-premise environments, depending on model compatibility, infrastructure constraints, security requirements, and implementation feasibility.

Do we need an internal AI team to use forward deployed engineering services?

No. Forward deployed engineering can support organizations without dedicated AI teams and supplement existing engineering departments. Markovate can assist with technical discovery, architecture, development, integration, and deployment.

How long does a forward deployed engineering engagement take?

Engagement duration depends on workflow complexity, integration requirements, data readiness, and the scope of implementation. Following technical discovery, Markovate can define implementation milestones, delivery responsibilities, and measurable success criteria.

What is the difference between forward deployed engineers and staff augmentation?

Staff augmentation primarily provides additional engineering capacity. Forward deployed engineering focuses on solving a defined business problem through hands-on technical ownership, workflow discovery, AI development, enterprise integration, and production deployment.

Your Business Challenges. Our Engineers. Production-Ready AI.

Bring experienced forward deployed AI engineers directly into your organization to solve complex operational problems, integrate intelligent systems, and turn AI investments into measurable business outcomes.

From the first workflow assessment to production deployment, Markovate helps you build AI that works within your business. Prefer to start with strategy? Explore our enterprise AI consulting services.