Forward Deployed Engineers×AI velocity

Ship product on a timeline that doesn’t need a footnote.

Forward Deployed Engineers using AI to compress the build cycle. One portal where every contract, doc, vault entry, and invoice lives — so you and your team work from the same source of truth, end to end.

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
Teams shipping with us
NorthwindAcme RoboticsBeacon HealthLedger.fiQuantal LabsVertex StudiosPolarisMesa FoodsNorthwindAcme RoboticsBeacon HealthLedger.fiQuantal LabsVertex StudiosPolarisMesa Foods
// two ways we work

Two modes. Same operating system.

We either build your product end-to-end, or embed inside your engineering org and lift its velocity. Same engineers, same AI tooling, same playbook — measured against milestones, not invoiced hours.

Build custom software

For founders without a tech team. We take you from a one-page brief to a deployed MVP in about three months — owning the entire stack from research through launch.

Lift an existing team

An embedded build squad plus our AI tooling slots directly into your in-house engineering org. We pick up critical features, hand back working code, and leave your team faster than we found them.

// how a build runs

Research → flow → prototype → production.
In one continuous loop.

The internal tooling compresses a typical six-to-twelve-month discovery-to-MVP cycle into about three months. Every step is automated, auditable, and reviewed by a senior engineer before anything lands in your repo.

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
// how we embed

One engineer. Direct line. Full ownership.

A Forward Deployed Engineer sits in your Slack, your standups, and your repo from day one — no account managers, no handoffs, no waiting room. Two-person build squads ship production code most weeks.

● 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.
Embedding model used atPalantirOpenAISnowflakeDatabricksAnthropic
// recent builds

Outcomes, not deliverables.

Six representative engagements. Real metrics, anonymized clients.

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 founders most often ask for.

Mobile apps

iOS & Android consumer + enterprise apps with native or cross-platform stacks.

Internal tooling

Dashboards, admin consoles, ops tools that replace messy spreadsheets.

AI applications

RAG, agents, fine-tuned models, LLM-powered workflows, evals included.

API integrations

Stripe, Twilio, Salesforce, custom REST/GraphQL — typed clients, retries, idempotency.

Rapid prototyping

From brief to clickable hi-fi prototype in days. Validate before you commit to the full build.

Codebase audits

Senior eyes on your stack. Performance, security, maintainability — written report.

// frequently asked

Common questions, direct answers.

If you don't see your question here, the contact form gets a senior engineer on the thread inside 24 hours.

Fluxent Technologies is a B2B technical consulting firm that ships production MVPs in about three months. Forward Deployed Engineers pair with AI tooling to compress research, prototype, and build into one continuous loop, owning the stack end-to-end or embedding inside an existing engineering team.

Most engagements run one to two weeks of free discovery, then roughly three months of development to a deployed MVP. Hi-fi clickable prototypes typically land in the first two to three weeks of the build. Larger products (multi-tenant SaaS, regulated systems) take longer, scoped against milestones with a senior reviewer on every pull request.

A Forward Deployed Engineer is a senior engineer who sits inside the client's Slack, standups, and repository from day one — no account managers, no handoff layers. They own scope, code, and delivery directly, reducing communication overhead by 30 to 40 percent versus a traditional agency model.

Mobile apps, internal tooling, AI applications (RAG, agents, evals), API integrations, investor-ready prototypes, and codebase audits. Stack defaults are Next.js, Django, FastAPI, Postgres, and the major LLM providers, but the squad picks whatever fits the client's existing infrastructure.

Discovery is free for one to two weeks. Builds are fixed-price against a written scope agreement, with milestones tied to working code rather than hours billed. Embedded engagements run on a monthly retainer with a transparent rate card for additional roles.

// let’s talk

Start the conversation.

Tell us what you’re building. We’ll come back with a scoped plan, a two-person squad, and a date you can hold us to.