On-Demand Workforce

Senior engineers who join your team, not just your backlog.

Add vetted engineers, specialists or a whole delivery pod in weeks. They work in your tools, rituals and time zone, and the team scales up or down as your roadmap changes.

Book a discovery call Start A 40-Hour Trial
Team builderYour product team · payments stream

Your team4 people

Daily stand-up · 09:30 GMTJiraGitHubSlack

Time to teamDay 0Sprint velocity24 pts
10days
Typical time to a first engineer
300+
Engineers across the stack
40hrs
No-cost, no-commitment trial
4hrs+
Daily time-zone overlap

The problems we solve

If this sounds familiar, your roadmap is waiting on hiring.

Capability gaps stall more roadmaps than budgets do. Here is what we hear from engineering leaders, and what changes.

“We can’t hire fast enough for the roadmap.” Recruiting takes quarters; the work is due this quarter.
What changes

Vetted engineers embedded in weeks, matched to your stack and ramped with a 30-day plan.

“Our last contractor ramped for two months and left.” Knowledge walked out with them and the codebase got harder to own.
What changes

Documentation, pairing and knowledge transfer built into every engagement — no single-point dependency.

“We need specialists, but can’t justify full-time headcount.” Niche skills are needed for a quarter, not a career.
What changes

Role-shaped squads: the exact skills for the exact window, with a clean exit back to your core team.

“Contractors deliver tasks, not outcomes.” Tickets close, but nobody owns whether the system got better.
What changes

Outcome-based engagements: we own delivery goals and service levels, not just hours at a desk.

“Our team is burned out and the backlog keeps growing.” Core staff carry everything; there is no surge capacity.
What changes

A flexible bench that scales up for delivery and down after, so your permanent team stays healthy.

The 40-hour trial

Better than an interview: 40 hours of real work, on us.

Interviews show how someone talks about work. Forty hours show how they do it. Your shortlisted engineer joins your team for a week of real work, at no cost and with no commitment.

A typical interviewThe 40-hour trial
  • CodeA whiteboard puzzleReal tickets and pull requests in your codebase
  • CommunicationOne conversationA week of stand-ups, reviews and Slack threads
  • Team fitA best guessYour own team’s verdict
  • Time to valueWeeks of interview roundsShipping in days
  • RiskCommit first, find out laterNo cost, no commitment, and you keep the work
0of 40 hrs

One week, real work

Rohan S. · Senior React engineer
Payments team · your sprint

  1. Day 1
    Set up and meet the teamAccess, codebase walkthrough, first stand-up
    8 h
  2. Days 2–3
    A real ticket from your backlogBuilt in your tools, to your standards
    16 h
  3. Day 4
    Pull request and code reviewFeedback from your tech lead, fixes made
    8 h
  4. Day 5
    Demo to your teamThen you decide
    8 h
Your decisionContinueSwap engineerWalk awayAt no cost, either way
  • No cost
  • No commitment
  • You keep the code
  • Your tools, rituals and time zone

What we offer

Six ways to engage, one standard of engineering.

From one specialist to a full delivery pod, every engineer works to the same quality gates, reviews and continuity commitments.

01

Embedded engineers

Add experienced specialists who contribute directly in your codebase and team rituals.

You getSenior engineering capacity aligned to your roadmap
  • Web
  • Mobile
  • Cloud
  • Data
02

Flexible delivery squads

Scale a cross-functional team as priorities, workloads and timelines change.

You getA flexible squad with clear ownership and handover
  • Engineering
  • QA
  • DevOps
  • Technical leadership
03

Product & design specialists

Bring in product, UX and delivery expertise to clarify priorities and keep teams moving.

You getA focused team with design and delivery support
  • Product strategy
  • UX / UI
  • Research
  • Delivery

How AI uses CLEAR

Every On-Demand Workforce engagement starts with C247 CLEAR.

Explore C247 CLEAR
  1. C ClarifyThe skills gap slowing your team down
  2. L LocateRoles, stack and rituals the engineers must fit
  3. E EvaluateSeniority, time-to-productivity and team fit
  4. A ArchitectSquad shape, onboarding and knowledge sharing
  5. R RoadmapFirst engineers embedded, then scale the bench

How we deliver

From first prompt to AI that earns trust.

We prove value on one workflow with real users before scaling, and measure accuracy, safety and cost at every release.

  1. 01

    CLEAR discovery

    Rank use cases, map data and systems, set accuracy, safety and cost targets.

    2–4 weeks
  2. 02

    Proof of value

    An evaluation set and a working prototype on real examples.

    Accuracy baseline
  3. 03

    Pilot in the workflow

    Live with real users, guardrails and human review in place.

    Value proven
  4. 04

    Scale & integrate

    More workflows and users on the same foundations.

    Workflow by workflow
  5. 05

    Run & improve

    Quality, drift and cost monitored; feedback turned into improvements.

    Ongoing
01

The team that joins

Senior people, accountable for the outcome

  • AI/ML lead accountable for the system
  • AI and full-stack engineers models, agents, product
  • Data engineer retrieval and pipelines
  • Delivery lead reports in your rituals
02

Quality & safety gates

Checked on every release, not once

  • Evaluation suite run on every change
  • Red-teaming and prompt-injection tests
  • PII and access review including data residency
  • Cost per task checked before release
03

After launch

Watched, improved and yours to run

  • Monitoring quality, drift and cost
  • Feedback loop from human reviewers
  • Runbooks and model cards in your repo
  • Hand-over or a managed run

"Think first. Then build." is not a delay before delivery. It is how we make delivery more dependable.

Technology and partners

The right models for your use case and risk.

We are model-agnostic and design for change: swap a model without rewriting the system. These are the platforms we deliver on most often, layer by layer.

Cloud

Build, deploy, and scale secure cloud infrastructure.

  • AWS
  • Terraform
  • Docker
  • Azure
  • GCP
  • Kubernetes

Stack decision principle: We do not force a fixed toolset. We choose technology after CLEAR clarifies the data, workflow, security posture, integration reality, operating cost, and ownership model.

Client impact

Building things that will last.

Featured work across verticals: proof that the method works beyond one flagship project.

View all work
Regional insurance carrier

Settling simple claims the same day with document AI and human review

  • InsurTech
  • Document AI
  • Workflow automation
Residential property manager

Filling vacancies faster with tenant matching and digital leasing

  • PropTech
  • Matching engine
  • Digital leasing
Online learning provider

An adaptive learning platform that keeps every learner on track

  • EdTech
  • Adaptive content
  • Web & mobile
Regional logistics operator

Turning delivery data into on-time decisions across the fleet

  • Logistics
  • Data pipelines
  • Routing intelligence
Precision components manufacturer

Predicting machine failures before they stop the line

  • Manufacturing
  • IoT data
  • Predictive models
Multi-specialty clinic network

Cutting patient intake time in half with a clinically reviewed assistant

  • HealthTech
  • Conversational AI
  • Human-in-the-loop
Digital lending platform

Same-day lending decisions with explainable risk scoring

  • FinTech
  • Risk models
  • KYC automation
Specialty retailer

One AI-assisted platform for every customer conversation

  • Retail
  • Conversational AI
  • Platform engineering
01 / 08

Connect

Clarity before code.

We will help clarify the workflows, data, users, risks, and build path before your team commits engineering budget.

  • Workflows
  • Data
  • Users
  • Risks
  • Build path
Book Discovery Call Submit RFP