New✨ AI Agents deployed in weeks, not months

    Easily build & deploy AI with honest engineering.

    FDE Team helps companies modernize technology, reimagine processes, and transform experiences — with forward deployed engineering teams.

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    120+
    FDEs Deployed
    30+
    Clients
    6–8 wks
    Production deployment

    Trusted by innovative companies worldwide

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    >_ Execution_as_a_Service

    Don't hire individuals.
    Deploy operational velocity.

    We deploy elite, fully managed Forward Deployed Engineering pods to automate, scale, and optimize your business core. From clearing product backlogs to engineering your revenue stack — a complete technical unit embedded into your workflow in 7 days.

    [ The Six Verticals ]

    Choose your deployment unit

    Select a highly specialized technical pod engineered to report directly to your line of business.

    01

    Core Engineering Pod

    The Challenge

    Your engineering team is busy maintaining existing systems, leaving little time to build new products and features.

    How We Help

    We deploy experienced engineers to accelerate development, clear backlogs, build integrations, and bring new products to market faster.

    Core Skills
    Python · React · Cloud · Data Engineering
    02

    Revenue Operations (RevOps) Pod

    The Challenge

    Sales teams lose valuable time managing CRMs, disconnected tools, and manual processes instead of focusing on customers.

    How We Help

    We build automations, integrate your sales stack, and streamline revenue operations with custom workflows and AI-powered solutions.

    Core Skills
    Salesforce · HubSpot · APIs · Python · SQL · Analytics
    03

    Marketing Growth Pod

    The Challenge

    Modern marketing depends on the right technology, automation, and data to execute campaigns, generate leads, and scale efficiently.

    How We Help

    We build the systems behind your marketing—from AI-powered workflows and tool integrations to campaign automation, analytics, and lead management—so your team can focus on growth.

    Core Skills
    MarTech · AI Automation · APIs · Python · JavaScript · Analytics
    04

    Finance & FinOps Pod

    The Challenge

    As businesses scale, managing cloud infrastructure, technology costs, financial workflows, and operational efficiency becomes increasingly complex.

    How We Help

    We build solutions that optimize cloud spend, automate financial processes, improve cost visibility, and provide the insights your finance and engineering teams need to make better decisions.

    Core Skills
    AWS · Azure · GCP · FinOps · Automation · Data & Analytics
    05

    Enterprise Technology Pod

    The Challenge

    Enterprise platforms like Salesforce, SAP, Oracle, and ServiceNow are critical to your business—but complex implementations, integrations, customizations, and ongoing development can slow teams down.

    How We Help

    We deploy specialized engineers to build, integrate, customize, and optimize enterprise technology platforms—connecting systems, automating workflows, and accelerating transformation without adding permanent engineering overhead.

    Core Skills
    Salesforce · SAP · Oracle · ServiceNow · APIs · Integrations · Automation · Java · Python
    06

    Legal & Compliance Pod

    The Challenge

    Legal and compliance teams are buried in contract review, policy questions, and regulatory change, with document volume growing far faster than headcount.

    How We Help

    We build secure, auditable AI systems over your contracts, policies, and matter data—automating first-pass review, tracking obligations and renewals, and monitoring regulatory change, with counsel signing off on every position.

    Core Skills
    Contract AI · CLM Integrations · Retrieval & Citations · Python · Workflow Automation · Data Governance
    Live wire
    Google Cloud/Gemini Enterprise for Legal brings agentic workflows to in-house teamsGoogle Cloud/Gemini Enterprise lands in financial services with regulated-sector controlsSalesforce/Salesforce and Anthropic announce ClaudeforceYahoo Finance/Anthropic to let enterprise customers store their own AI dataWebProNews/OpenAI previews Private Safety Processing for zero-retention workloadsForbes/Enterprise AI vendor loyalty is fading fast

    Signal, not noise

    What's moving in AI & enterprise tech

    A twice-weekly digest of the announcements shaping how enterprises actually deploy AI — read through the lens of teams shipping in production.

    Legal AI

    Gemini Enterprise for Legal brings agentic workflows to in-house teams

    A purpose-built enterprise agent platform for legal departments — contract review, matter intelligence and grounded research on top of governed enterprise data.

    Why it matters

    Mirrors what our Legal & Compliance Pod deploys: grounded answers over your own document estate, with audit trails regulators accept.

    Source: Google CloudRead original
    Financial Services AI

    Gemini Enterprise lands in financial services with regulated-sector controls

    Sector-specific agents for research, risk, onboarding and client service, packaged with the data residency and governance controls banks and insurers require.

    Why it matters

    Model capability is no longer the bottleneck — deployment inside regulated workflows is. That is exactly the gap our Finance & FinOps Pod closes.

    Source: Google CloudRead original
    Partnerships

    Salesforce and Anthropic announce Claudeforce

    An expanded partnership putting Claude reasoning directly against Salesforce data, workflows, business logic and governance across the CRM.

    Why it matters

    Agents are moving into systems of record. RevOps teams need engineers who can wire reasoning to real pipeline data, not another pilot.

    Source: SalesforceRead original
    Enterprise AI

    Anthropic to let enterprise customers store their own AI data

    Enterprises will be able to keep conversation and workload data in their own environment, answering a core procurement objection in regulated industries.

    Why it matters

    Data-residency parity across vendors makes model choice an architecture decision — which is why we stay model-agnostic on every deployment.

    Source: Yahoo FinanceRead original
    Enterprise AI

    OpenAI previews Private Safety Processing for zero-retention workloads

    A privacy-first processing path aimed at enterprises that cannot allow prompt or output retention, sharpening the competition on trust rather than benchmarks.

    Why it matters

    Buyers now evaluate AI on controls, not demos. Ship with logging, evals and retention policy defined on day one.

    Source: WebProNewsRead original
    Market

    Enterprise AI vendor loyalty is fading fast

    Analysis of enterprise spending shows buyers routinely switching or blending providers as capability and pricing leapfrog quarter to quarter.

    Why it matters

    Single-vendor architectures age badly. Build a routing layer so swapping a model is a config change, not a rewrite.

    Source: ForbesRead original
    Market

    OpenAI closes the gap with Anthropic on business spending

    Card-spend data across tens of thousands of US businesses shows the enterprise share race tightening through the quarter.

    Why it matters

    The leaderboard flips every few months — teams that abstracted their model layer early are the ones not repaying that debt now.

    Source: TechCrunchRead original

    Updated every two days. All headlines are summaries of third-party reporting — full credit and links go to the original publishers.

    Model-Agnostic AI Implementation Partner

    Equal Partners with Anthropic, OpenAI & Google

    We don't lock you into a single vendor. Our Forward Deployed Engineers select the right model — Claude, GPT, or Gemini — for every task, then orchestrate them together for the best outcome at the lowest cost.

    Anthropic

    Claude

    • Long-context reasoning & analysis
    • Constitutional AI safety guarantees
    • Best-in-class for legal, policy & research workflows
    • Reliable structured output for document-heavy enterprise pipelines

    OpenAI

    GPT & o-series

    • Frontier multimodal reasoning (text, image, voice)
    • Mature tool-use & agentic frameworks
    • Broadest enterprise ecosystem & SDKs
    • Fine-tuning and evals for domain-specific accuracy

    Google

    Gemini & Vertex AI

    • Massive context windows (1M+ tokens)
    • Native multimodal (video, audio, code)
    • Deep integration with Google Cloud & Workspace
    • Enterprise agent platforms purpose-built for regulated sectors like financial services

    Multi-model orchestration, side-by-side evaluations, and per-task routing — built into every FDE Team deployment.

    Hiring Engineers is Hard. We Make It Easy.

    Every company needs great developers. We build and deploy FDE teams so you can focus on your product.

    Traditional Hiring

    • Months-long hiring cycles
    • Expensive local talent costs
    • High turnover and training overhead
    • Scaling bottlenecks
    • Time zone coverage gaps

    FDE Teams

    • Pre-vetted FDE teams ready in weeks
    • Cost-effective global talent
    • Managed teams with zero turnover risk
    • Scale up or down instantly
    • USA, South America & India coverage
    Write to us
    How We Work

    Flexible Engagement Models

    Whether you need a full team or a project pod, we adapt to your needs.

    Your team, fully managed

    Dedicated FDE Teams

    Full-stack developers embedded in your workflow. They work like your in-house team, just remote.

    • Hand-picked engineers
    • Your tech stack, your tools
    • Daily standups & reporting
    • Long-term engagement
    Most Popular
    Ship specific features

    Project-Based Pods

    Spin up a team for a specific project or feature. We scope, build, and deliver.

    • Fixed scope & timeline
    • End-to-end delivery
    • QA & testing included
    • Full code handoff
    Deploy AI to your customers

    Startup Accelerator

    Already built an AI product? Our FDEs help you implement and deploy it to your enterprise customers.

    • Customer implementation
    • Enterprise deployment
    • Startup-friendly pricing
    • Scale with customers

    Not sure which model fits your needs?

    Talk to an expert

    >_ THE PROTOCOL

    From Kickoff to First Commit

    DAY 1
    Discovery
    Deep Dive
    DAY 3
    Shadow
    Match
    DAY 4
    Battle
    Plan
    DAY 6
    Kickoff
    Meeting
    DAY 7
    >_ git push
    First Commit

    Why FDE Team?

    Compare us to traditional outsourcing and in-house hiring.

    Capability
    FDE Team
    Our Approach
    Traditional Outsourcing
    Traditional
    In-House Hiring
    DIY
    Time to Deploy Team6-8 weeks3-5 months6 months
    Pre-Vetted Engineersvaries
    Global Talent Poollimited
    Flexible Scalingvaries
    No Recruiting Overhead
    Simple Monthly Pricingvariesn/a
    Replacement Guaranteevaries
    Path to Direct Hireextra costn/a
    Timezone Coverage3 regionslimitedlimited

    Ready to build your team?

    Deploy a fully managed FDE pod embedded into your workflow in days, not months.

    ✉ Write to us
    Client Stories

    Teams That Deliver

    Growing companies trust FDE Team for their engineering needs.

    "Their forward deployed engineering team integrated seamlessly with our existing operations, delivering enterprise-grade solutions that exceeded our expectations."

    40%+ operational savings
    TE
    Technology Executive
    VP Technology, Global Retail Corporation

    "The BOT model allowed us to establish our India GCC with zero risk. They handled everything from talent acquisition to infrastructure setup."

    GCC launched in 90 days
    C
    CTO
    Chief Technology Officer, Fortune 500 Manufacturing

    "Their managed teams approach gave us immediate access to senior engineers without the 6-month hiring cycle. They shipped production code from week one."

    3x faster time-to-market
    EL
    Engineering Lead
    Head of Engineering, Enterprise SaaS

    We work with companies of all sizes

    StartupsSaaS CompaniesEnterprisesAgenciesTech Companies
    Write to us
    Frequently Asked Questions

    Everything You Need to Know About FDEs

    Answers to common questions about Forward Deployed Engineers and working with FDE Team.