Your AI team, already hired.
Remqa embeds forward deployed engineers (FDEs) with your team. They build AI into your product and operations, connect it to the systems you already run, and keep it working. You own everything we build.
Example of a pilot our FDEs ship
Our FDEs work in your codebase, next to your engineers, and ship the AI features on your roadmap while your team keeps building the core product.
Your roadmap, your stack. We work in your repo, your cloud and your review process.
Production, not demos. Evaluations, monitoring and guardrails ship with every feature.
Clean handover. Your engineers own the code and know how it works.
featurefeatureagentpipelineopsBuying AI tools is easy. Getting AI to work inside your own systems, every day, is the hard part. That last mile is where most projects stop.
of companies surveyed have operationalized AI at scale, even though 94% already use generative AI.
of IT leaders say AI is scaled and governed company-wide, while 82% say it's already in production somewhere.
year-over-year growth in forward deployed engineer job postings by April 2026. Companies need builders, not more advice.
Experienced AI engineers who can ship to production are in short supply, and most want to work at AI companies.
Off-the-shelf AI tools stop at the edge of your ERP, CRM and shared inbox. That's where the real work lives.
A roadmap tells you what to build. Someone still has to build it, test it, and keep it running.
A forward deployed engineer (FDE) is a software engineer who works directly inside a client's business to build, integrate and ship custom software, usually AI, into the client's real systems and workflows. The FDE stays accountable until it works in production.
Palantir pioneered the FDE model. In 2026 it became one of the most sought-after roles in AI, with OpenAI, Anthropic, Google Cloud, Microsoft and the largest consulting firms building FDE teams.
The models are good enough. The bottleneck is connecting them to your messy, private data and the systems your team works in. A 2026 study estimated about 17,000 FDEs in the U.S., against demand forecast to rise 2,100%. That's why hiring your own is slow and expensive.
Remqa gives you an embedded FDE team without recruiting one. Our FDEs work inside your environment, ship production AI systems, and run them for as long as you want.
| Remqa FDEs | Traditional consultants | Hiring in-house | Off-the-shelf AI tools | |
|---|---|---|---|---|
| What you get | A working AI system in your environment | Strategy, roadmap, slides | A team, once hired | A generic tool |
| Time to first result | Weeks | Months, strategy first | Months to hire, then build | Days, but limited |
| Works inside your ERP, CRM, inbox | Yes, built for your stack | Usually handed off to someone else | Yes, eventually | Only where integrations exist |
| Who runs it after launch | We do, or your team takes over | You | Your team | The vendor |
| Who owns the code and data | You | Varies | You | The vendor |
No long discovery phase. Our FDEs pick one workflow that costs you real hours and get it into production first.
We walk through where your team loses time and pick the one use case with the clearest payback.
Our forward deployed engineers embed with your team and ship that first use case into your real systems, measured against a number you pick.
Once the first win is live, our FDEs keep shipping the next use cases and keep everything running. If you later build an internal team, we hand it all over.
The kind of systems our forward deployed engineers build. Every engagement starts from your workflow, not a product we're trying to sell.
Turn the documents and emails your team re-types every day into structured work.
Answer faster, quote faster, and stop losing knowledge when people leave.
Checks and reconciliations that take a team days, done in minutes with a person signing off.
Add AI features to the software your customers already pay for, without a rebuild.
You see a live system in your environment early. Decks are optional.
Our FDEs connect to the ERP, CRM, inbox and files you already use. No rip and replace.
AI drafts, checks and routes. Your people approve anything that spends money or reaches a customer.
Code, prompts, data and documentation are yours, whether we keep running it or your team does.
Our forward deployed engineers act as your AI team. They build the systems, run them, and keep improving them while your people stay focused on the business. If you decide to bring AI in-house later, we hand everything over with full documentation.
Meghana Jagadeesh is the founder and CEO of Remqa. She spent years in enterprise sales and account management at Google, TikTok and ShareChat, working with business owners on what actually moves their numbers.
She then founded GoCodeo, an AI coding product that grew to 40,000+ users with zero paid marketing. Today she leads Remqa's team of forward deployed engineers, who build and run AI systems inside client companies.
IIT Roorkee engineer with 16+ years in technology. He has led engineering as Director of Engineering at WhiteHat Jr and BYJU'S and as CTO at BeMasterly, and co-founded Kodiva.ai, an agentic AI platform that runs sourcing and outreach for hiring teams.
Varun on LinkedIn →A forward deployed engineer is a software engineer who works directly inside a client's business to build, integrate and ship custom software, usually AI systems, into the client's real systems and workflows. Palantir pioneered the role. OpenAI, Anthropic and others now run FDE teams.
A consultant usually delivers a strategy or roadmap. An FDE writes production code inside your systems, ships a working AI system, and stays accountable for it running. Remqa's FDEs do the building, not just the advising.
Experienced FDEs are scarce and expensive. A 2026 study cited by TechCrunch estimated about 17,000 FDEs in the U.S. against demand forecast to rise 2,100%, and OpenAI's U.S. FDE listings offered base salaries of roughly $146,000 to $280,000. Remqa gives you an embedded FDE team without recruiting one.
No. That's who Remqa is built for. Our FDEs act as your AI team. We need the person who owns the workflow and access to the systems involved.
No. Getting the data needed for one use case into shape is part of the pilot. You don't need to finish a data project first.
Our FDEs work inside your environment wherever possible, follow your access and approval rules, and choose model providers and settings that fit your security requirements. Your IT team signs off on the setup before anything goes live.
The workflow review is free. The pilot is scoped and priced after the review, so you know the number before work starts. Ongoing work after that is a monthly engagement.
Whatever fits the job and your security rules. Remqa isn't tied to one AI vendor, so you're not locked in. If a simpler non-AI fix works better, we'll say so.
About an hour a week from the person who owns the workflow, plus access to the systems involved. Our FDEs do the building.
In 30 minutes we'll tell you whether AI can fix it, what the first FDE build would look like, and roughly what it would take. No pitch deck.
Opens Calendly in a new tab. Prefer email? meghanaj.connect@gmail.com