Forward Deployed Engineers×AI-accelerated delivery

Custom software, shipped in months, not quarters.

Forward Deployed Engineers — senior engineers embedded in your Slack from day one — paired with an internal AI toolchain that compresses research, prototyping, and boilerplate. The result: a working release in about three months, fixed-price against a written scope, with a senior reviewer on every pull request.

ForFounders·SMBs·Operations teams·Product & CTO orgs

Free 1–2 week discovery · Fixed price · You own the code

FLUX-001· acme-fleet-console · live
// research engine
fluxent research "warehouse fleet ops"
  fetching 14 sources…
Synthesized 12 insights
generate.flow user_journey
// flow generation
loginfleet viewdispatchincident
// prototype preview
218
build hrs
$3.2M
arr proj.
~12wk
to mvp
Industries we’re actively building in
HealthcareFintechRoboticsLogisticsSaaS PlatformsOperations TeamsAI-Native ProductsInternal ToolingHealthcareFintechRoboticsLogisticsSaaS PlatformsOperations TeamsAI-Native ProductsInternal Tooling
// how we engage

Two ways to put us to work.

Whether you have no engineering team or fifty engineers, the engagement model is the same: a written scope, a Forward Deployed Engineer in your Slack, our internal AI toolchain on every workflow, and milestone billing tied to working software you sign off on.

Build a product, end to end

For founders and SMBs without an in-house team. A Forward Deployed Engineer takes you from a one-page brief to a deployed first release in about three months — research, design, build, launch, and the first 30 days of on-call coverage included.

Embed with your engineering team

For ops leaders, CTOs, and product teams that need senior capacity now, not in nine months of hiring. A Forward Deployed Engineer slots into your repo and standups, picks up critical work, writes the docs, and leaves your team stronger than they found it.

// the ai toolchain, inside the portal

Research, flow, prototype, production —
AI-accelerated, senior-reviewed, fully visible.

Our internal AI toolchain takes the boilerplate out of every phase: synthesizing research, generating flow diagrams, scaffolding prototypes, drafting code. A senior engineer reviews every output before it lands in your repo. You watch it all happen inside one portal — architecture document, flow diagrams, clickable prototype, pull requests — not in a Friday slide deck. The workflow that lets a six-to-twelve-month build finish in about three.

FLUX-001
live
Engagement memov0.3 · draft

acme-fleet-console — discovery & scoping

Fluxent Research · Week 1 · Reviewed by analyst
Executive summary
1
Key findings
  • 47 sources analysed across industry reports2
  • 12 distilled insights, 3 critical risks3
  • Recommended approach: phased rollout4
5
Page 1 of 14✓ Analyst signed
01 · Research

An engagement memo, with citations.

AI-powered research engines paired with a senior analyst. Forty-plus sources per brief, distilled into a written memo where every claim is traceable to a numbered reference.

  • AI document analysis and structured data extraction
  • Senior analyst on every quality pass
  • Cited findings — every claim linked to source
  • Delivered as a Fluxent doc inside the portal
Deliverable
Memo · 14 pages
Sources scanned
47
Insights
12
Timeline
Week 1
// who you actually work with

A Forward Deployed Engineer. Direct line. Full ownership.

No account managers, no handoffs, no junior team behind the curtain. A senior engineer scopes your project, writes the code, runs the demos, and lives in your Slack from day one — backed by an internal AI toolchain that takes the boilerplate off their plate. Production deploys most weeks, not most quarters.

● Traditional agency

Slow, opaque, expensive.

  • ×Account manager → PM → designer → engineer handoffs eat 30–40% of the timeline.
  • ×Same-day feedback is impossible; iteration cycles run two to three weeks.
  • ×Knowledge silos walk out the door when the engagement ends.
  • ×Generic playbooks; no AI tooling to compress the busywork.

● Embedded build squad

Direct, fast, accountable.

  • Senior engineer in your Slack, your standups, your repo from day one.
  • Same-day feedback loops. Production deploys most weeks, not most quarters.
  • Documented context lives in your portal — not on someone's laptop.
  • Full access to the AI tooling: research, flow, prototype, code generation.
Same embedded engineering model used atPalantirOpenAISnowflakeDatabricksAnthropic
// example engagements

The kind of work we ship.

Six representative builds across the categories we get asked for most. Clients and exact numbers are anonymized; named case studies launch as each engagement signs off.

FinTech·14-week build
$3M ARR
in first 6 months post-launch
Treasury dashboard for a 3-person crypto team — multi-chain reconciliation, on-chain tracing, audit-ready exports.
Next.jsDjangoPostgresWeb3
Read the build
Health·9-week build
faster
patient onboarding throughput
HIPAA-compliant intake, signature capture, and EHR sync via FHIR for a regional clinic group.
ReactFastAPIHL7S3
Read the build
Robotics·ongoing
$2.4M seed
closed off the prototype demo
Autonomous warehouse fleet operator console — telemetry, dispatch, incident review at 1Hz.
Next.jsgRPCTimescaleWebRTC
Read the build
SaaS·Internal tooling
72% dev time
reclaimed from busywork
Internal procurement portal replacing a 14-tab spreadsheet workflow. Three-way invoice match.
Next.jsPostgresS3
Read the build
AI·Research
~3 mo to MVP
grounded research engine v1
Multi-source research pipeline with citation grounding and human-in-the-loop review.
PythonAnthropicPinecone
Read the build
DevTools·Audit
$340k saved
annual cloud + render budget
Codebase + render-pipeline audit for an indie game studio. Two months of senior eyes, then a written playbook.
AuditProfilingAWS
Read the build
// what we build

What clients most often ask us for.

A non-exhaustive list. If your problem doesn't fit one of these, scope it anyway — odds are we've shipped something close.

Internal tools & operations software

Replace fragile spreadsheets and manual handoffs with admin consoles, dashboards, and workflow tools your team actually uses.

Customer-facing web & mobile

Production web apps and iOS / Android experiences for founders shipping a first product or SMBs replacing an off-the-shelf tool that no longer fits.

AI workflows & automation

Real LLM and agent systems wired into your operations — RAG over your data, copilots for your team, evaluations included. Measured by accuracy and cost, not vibes.

Integrations & data plumbing

Stripe, Salesforce, HubSpot, Twilio, EHRs, custom REST and GraphQL — typed clients, retries, idempotency, and the operational hygiene to keep them running.

Investor-ready prototypes

From brief to clickable hi-fi prototype in days. Pressure-test the concept with users or your board before you commit to a full build.

Codebase & architecture audits

Senior eyes on your stack — performance, security, maintainability. Written report and a prioritized action plan you can run with us or in-house.

// frequently asked

The questions buyers actually ask.

If yours isn't here, the contact form puts a senior engineer on the thread inside 24 hours — not a sales sequence.

We are a software engineering and systems partner for founders, SMBs, and operations teams. We design, build, and run custom software — internal tools, customer-facing products, AI workflows, integrations, and the platforms behind them — either as a full delivery team or embedded inside your existing engineering org.

A Forward Deployed Engineer is a senior engineer who sits directly in your Slack, your standups, and your repository from day one — no account managers, no project managers, no handoff layers. They own scope, code, and delivery end-to-end. It's the same embedded engineering model Palantir popularized for solving real customer problems at the source.

AI is a tool inside our workflow, not the product we sell. Our internal toolchain accelerates the parts of a build that don't need senior judgment: synthesizing research, generating flow diagrams and scaffolding from a brief, drafting boilerplate code, writing first-pass tests and documentation. A Forward Deployed Engineer reviews every AI-produced artifact before it ships, and senior judgment owns architecture, security, and trade-off decisions. The net effect is a six-to-twelve-month timeline compressed to about three.

Funded startup founders without a tech team, SMB owners replacing manual workflows with software, operations and product leaders at mid-sized companies, and CTOs who need senior capacity without a 9-month hiring cycle. Our smallest engagements start around $20K; our largest are multi-quarter embedded partnerships.

Most engagements run one to two weeks of free discovery, then roughly three months of development to a production-ready first release. A clickable hi-fi prototype typically lands inside the first three weeks. Larger systems (multi-tenant SaaS, regulated industries, integrations-heavy work) are scoped against milestones with a senior reviewer on every pull request.

Discovery is free for one to two weeks and ends with a signed Scope Agreement: a written brief, milestones, fixed prices, and acceptance criteria. You only pay when a milestone ships and you approve it. Embedded engagements run on a monthly retainer with a transparent rate card.

You own all code, IP, and data — written into every Scope Agreement. We work under mutual NDA, run least-privilege access through our portal vault, and follow standard practices around secrets, audit logging, and code review. We have shipped work in regulated environments (healthcare, fintech) and will adapt to SOC 2, HIPAA, or PCI requirements when the engagement calls for it.

// next step

Tell us what you’re trying to build.

A senior engineer replies inside 24 hours. The first one to two weeks of discovery is on us — you walk away with a written scope, a fixed price, and a date you can hold us to, whether or not you decide to build with us.

Free discovery · Fixed-price build · NDA on request · You own the code