AI & Generative AI
Applied LLM and agentic AI systems — RAG, multi-agent workflows, and generative pipelines — embedded with your team and built for secure production scale, not just a demo.
AI-Centric Consulting · Forward-Deployed
AI-centric consulting,
forward-deployed with your team.
Orange Tech Consultants embeds expert engineers directly with your team to design, build, and ship production AI systems — secure and built to scale, not stuck as a proof of concept.
- 15+
- years in cloud, data & AI
- 5
- industry certifications
- 100%
- expert-led delivery
Services
AI-centric engineering, forward-deployed.
Every engagement centers on production AI — backed by the cloud and data foundations it depends on, delivered hands-on alongside your team, from proof of concept to secure production scale.
Data Engineering & Platforms
Modern data architectures and governed pipelines that turn raw data into a dependable, secure foundation for analytics, ML, and the AI systems built on top of it.
Cloud & Infrastructure
Resilient, cost-optimized cloud foundations — automated provisioning, infrastructure as code, and DevOps pipelines built for faster releases, higher uptime, and fewer 3am pages.
Full-Stack Web Development
Production-grade web applications — customer-facing products and internal tools alike — built end-to-end, front-to-back, and delivered hands-on with your team like everything else we ship.
Selected Outcomes
Proof, not promises.
A representative sample of engagements across cloud, data, and AI — anonymized to protect client confidentiality.
Reliability at scale during a platform migration
- Challenge
- Mission-critical systems supporting millions of daily transactions had no formal reliability model, and an aging orchestration platform was limiting scalability and slowing incident response.
- Approach
- Directed the global SRE function — defining SLAs, SLOs, and error budgets, and overhauling observability with unified monitoring and alerting. Led the migration of a complex microservices platform from Mesos to Kubernetes on AWS, backed by Terraform-driven infrastructure as code and automated CI/CD.
- Result
- 30% faster incident detection & resolution, 40% higher deployment success rate, and a modernized platform built for scale.
A secure, compliant data science platform for 300+ scientists
- Challenge
- An on-premises data science environment was limiting collaboration for a large team working with sensitive patient data, with no automated way to flag protected health information.
- Approach
- Migrated the platform to AWS with secure, multi-tenant SageMaker environments; engineered an automated PHI detector on AWS Comprehend Medical and DynamoDB; and exposed model predictions as production APIs via API Gateway and Lambda.
- Result
- A compliant, cloud-native platform serving 300+ data scientists, with automated safeguards for sensitive data and predictions delivered directly into downstream applications.
Briefly: campaign creation from days to minutes
- Challenge
- Marketing teams needed days to gather data from multiple systems and synthesize market research, brand tone, and strategy into a single campaign brief — a slow, manual bottleneck the business couldn't scale.
- Approach
- Built Briefly, a multi-agent chatbot (LangChain/LangGraph) that connects on demand to multiple internal data sources via MCP servers, then synthesizes research, brand tone, and campaign strategy into a ready-to-use brief with minimal human input.
- Result
- Campaign brief creation dropped from days to minutes, freeing the marketing team to focus on strategy instead of manually gathering data.
AI-powered safety detection and grid optimization
- Challenge
- Slow, manual detection of gas leaks put field teams at risk, while growing distributed solar generation made grid reliability harder to forecast.
- Approach
- Designed and shipped an AI-powered real-time gas leak detection platform integrated directly with field operations, and built distributed ML systems for solar power estimation to improve distributed energy resource (DER) forecasting.
- Result
- Cut emergency response time by 3 hours, enabling proactive safety intervention, and improved DER forecasting accuracy to strengthen grid reliability at scale.
Process
From first conversation to production.
The forward-deployed model, in four steps.
- 01
Discovery
Understand the problem, current stack, constraints, and what "done" actually looks like.
- 02
Architecture & Plan
Design the solution and agree on scope, timeline, and engagement model.
- 03
Embed & Build
Engineers join your team and build directly in your environment — forward-deployed, not offsite.
- 04
Ship & Scale
Launch to secure production, with observability and security built in from day one.
Approach
Forward-deployed, expert-led delivery.
Expert engineers, embedded directly with your team — building production systems that scale securely, not proofs of concept, without the overhead of a traditional consultancy.
Forward-deployed, AI-centric
Expert engineers embed directly with your team — in the room, in the codebase — building production AI systems alongside you, not handing off specs from a distance.
Production-first, not proof-of-concept
Every engagement is built for secure, production scale from day one — observability, security, and cost engineered in from the start, not bolted on after a demo.
Flexible engagement models
Project-based delivery, fractional/advisory support, or an embedded placement alongside your existing team — whichever fits how you work.
Pragmatic technology choices
Recommendations grounded in what will actually hold up in production, not what's trending.
Expertise
15+ years building enterprise-scale systems.
Orange Tech Consultants is built on more than fifteen years of hands-on experience architecting and operating data pipelines, machine learning platforms, and cloud-native infrastructure for large organizations across healthcare, fintech, insurance, agtech, and consumer technology.
That experience spans building enterprise-scale data architectures, leading global site reliability operations for systems handling millions of daily transactions, and delivering agentic AI and generative AI applications from concept to production — including autonomous reasoning systems, real-time detection platforms, and delivery automation that cut release cycles by 40%+.
Orange Tech Consultants exists for exactly this kind of complexity — regulated industries, mission-critical systems, and large-scale migrations that a templated playbook can't handle. The work doesn't stop at a proof of concept: everything is built to run securely, in production, at scale.
Built For Complexity
Enterprise-scale systems, regulated industries, and mission-critical platforms — the kind of complexity that breaks templated playbooks.
Regulated & High-Stakes Industries
Healthcare, fintech, and insurance — where compliance, reliability, and data sensitivity aren't optional.
Production, Not Prototypes
Every engagement ships to secure, production scale — not a proof of concept that stalls after the demo.
Expert Judgment, Every Time
Every engagement gets expert-level engineering judgment — not a junior team following a script.
Certifications
FAQ
Questions worth answering upfront.
How does the forward-deployed model actually work day to day?
An expert engineer works directly inside your team's tools and workflow — your repos, your stand-ups, your Slack — rather than delivering specs from a distance. You get the same visibility into progress as any other team member.
How is pricing and engagement structured?
Project-based delivery, fractional/advisory support, or a longer embedded placement — whichever fits how your team works. Scope and pricing are agreed upfront after discovery, no surprises.
Is our data and codebase kept confidential?
Yes. NDAs are standard practice and signed before any technical discovery begins.
Remote or on-site?
Remote by default, with on-site available for kickoff, discovery, or specific milestones if useful to your team.
What happens after I submit the contact form?
You'll hear back directly — no sales team, no queue — typically within one business day, to schedule an initial discovery conversation.
How big is your team?
Engagements are led hands-on by an expert practitioner directly — no account layers, and no bench you never actually meet. For specialized needs beyond that core expertise, vetted collaborators are brought in as the engagement requires, so you get senior attention at any scale.
What size companies or industries do you work with?
Primarily mid-size to enterprise organizations with real complexity — regulated industries, mission-critical systems, and large-scale migrations. If a project is early-stage or straightforward, we'll say so honestly if it's not the right fit.
Contact
Have a cloud, data, or AI problem worth solving properly?
Tell us about it below, or reach out directly — every engagement starts with expert, hands-on involvement.
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