PixelMojo

Data • Intelligence • Experience

Your AI platform, deployed end to end

We bring the strategists, engineers, and designers that build production-grade AI without the usual integration hangovers.

Product and engineering enablement covering data pipelines, models, and shipped experiences.

Starting at Programs from $18K

End-to-end AI architecture diagram spanning data to interface layers

6 weeks

Production milestone

First feature in the hands of users with monitoring and guardrails live.

4x

Deployment velocity

Model updates, integrations, and UI improvements shipping every sprint.

99.5%

Reliability targets

Observability, testing, and rollback plans keep uptime and safety intact.

Blueprint first

Architecture aligned to outcomes

Before we ship a line of code, we model how intelligence flows through your organization, from data sourcing to user impact.

  • Capability mapping shows which teams own, operate, and benefit from each component.
  • Total cost of ownership forecasted with options to flex up or down over time.
  • Risk register covering compliance, security, and data exposure scenarios.
Blueprint detailing AI platform capabilities and ownership

Stack we deliver as part of every engagement

Data, models, and experiences launch together so value is obvious to stakeholders.

Data Spine

Pipelines you can trust

  • Ingestion, cleaning, and governance layers tailored to your compliance needs.
  • Feature stores and vector databases that support retrieval-augmented workflows.
  • Quality scoring and drift detection with automated remediation paths.

Model Layer

Balanced between bespoke and off-the-shelf

  • Strategy for when to fine-tune, prompt engineer, or orchestrate multiple models.
  • Evaluation harness with human-in-the-loop review where it matters most.
  • Cost and latency monitoring to protect gross margin and customer experience.

Interface & Workflow

Experiences that feel native to your product

  • Copilots, dashboards, and automations embedded into existing journeys.
  • Role-based permissions and audit trails that satisfy IT and security.
  • Feedback capture wired straight into backlog refinement and model retraining.

Pods that ship

Cross-functional squads embedded with you

We slot into your cadence, augment existing teams, and leave you with the capability to keep shipping after we roll off.

  • Daily stand-ups with your product and engineering leads to keep priorities tight.
  • Shared documentation, architecture diagrams, and decision logs for transparency.
  • Pairing sessions transfer knowledge to internal engineers and analysts.
Implementation pod coordinating AI build with client stakeholders

Implementation runway with zero guesswork

1

Architecture decisions

Weeks 1-2

We partner with your leads to choose cloud, data, and orchestration patterns that respect existing investments and regulatory boundaries.

2

Pilot build

Weeks 3-6

Cross-functional pods deliver the end-to-end workflow: data pipelines, model logic, and user-facing surfaces working together with telemetry.

3

Hardening + scale

Weeks 7-9

Load testing, security reviews, and compliance checks precede wider rollout. Automation handles deployment, rollback, and monitoring.

4

Enable + handoff

Weeks 10-12

Training, documentation, and ownership plans empower internal teams to operate, iterate, and extend the solution safely.

Embedded capability when we are done

Product + Strategy

Translates business goals into outcome-driven roadmaps and sprint cadences.

Applied AI Engineering

Designs, builds, and evaluates the models, integrations, and automations.

Experience + Change

Crafts the UI, training, and communications that drive adoption.

Runbook + observability

Dashboards, alerts, and on-call workflows to keep systems healthy 24/7.

Compliance toolkit

Traceability, audit trails, and policy docs aligned to your industry requirements.

Scale roadmap

Multi-quarter plan covering feature expansion, team needs, and investment cases.

Ready to operationalise AI across your stack?

We will review your roadmap, identify the highest-impact workflows, and co-design a delivery plan that proves ROI before the quarter closes.

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