HighPixel / Solutions
Three layers · six solutions · one cohesive system

We build across the stack —
but we think in layers.

Intelligence shapes the experience. Product engineers ship it. Foundation keeps it safe and fast. Pick a layer to explore — or scroll for the full map of what we ship.

Each layer earns its place.

Most teams hire us for one layer and discover they needed two. The shape below is what an end-to-end engagement looks like — Intelligence on top, Product in the middle, Foundation underneath, with our delivery model wrapped around all three.

  • Intelligence Agents · Models · Personalization
  • Product Web · Mobile · Internal tooling
  • Foundation Cloud · Observability · Privacy
// LAYER 01 · INTELLIGENCE Agents Decisions Adaptive UX // LAYER 02 · PRODUCT Product Engineering Operations & Tooling // LAYER 03 · FOUNDATION Platform · Cloud · Privacy Engineering

Pick the layer.
Pick the problem.

Each card opens a full service page — capabilities, personas, recent work, technology choices, and the team that ships it.

S01 · Intelligence Layer 01

Agentic AI Systems

Autonomous agents that plan, act, and learn from outcomes — wired to your audit log, your observability stack, and the humans they escalate to.

Multi-step reasoning & tool use
Memory + retrieval pipelines
Eval harness & guardrails
Audit + escalation workflows
LangGraphOpenAIAnthropicPineconePostgresTemporal
Explore the service → /agents
Recent outcomes
Cases reviewed per analyst per day
Lending fintech · 2025
Manual triage time eliminated
B2B SaaS support ops · 2025
62%
S02 · Intelligence Layer 01

Decision Intelligence

ML that turns signals into actions — explainable, observable, and tied to a business KPI you actually report on.

Ranking, scoring, recommender systems
Real-time feature stores
Drift, fairness & A/B harness
Explainability for ops + audit
PythonXGBoostFeastPostgresRedisAirflowMLflow
Explore the service → /decisions
Recent outcomes
Of GMV now flows through the recommender
D2C fashion · 2025
34%
Lift in qualified leads from ranked outreach
B2B sales platform · 2024
21%
S03 · Intelligence Layer 01

Adaptive UX & Personalization

Interfaces that respond to each user, context, and moment — server-driven, measurable, and reversible.

Server-driven UI variants
Multi-armed bandits & cohorts
On-device personalization
Feature flags + experiment governance
Next.jsReact NativeGrowthBookStatsigEdge Functions
Explore the service → /adaptive
Recent outcomes
Onboarding completion lift
Health-tech app · 2025
+18%
Add-to-cart on personalised home
D2C fashion · 2024
+27%
S04 · Product Layer 02

Product Engineering

Web, mobile, and commerce builds shipped at studio quality — opinionated foundations, no surprises in month four.

Next.js, React Native, Swift / Kotlin
Headless commerce & payments
Design system foundations
Performance budgets baked in
Next.jsReact NativeTypeScripttRPCStripeShopify
Explore the service → /product
Recent outcomes
Time-to-first-meaningful-paint
Marketplace rebuild · 2025
0.9s
iOS app store rating after rebuild
Health-tech app · 2025
4.7★
S05 · Product Layer 02

Operations & Internal Tooling

Workflows, dashboards, and admin UIs that don't slow your team — the boring software that actually runs the business.

Ops consoles & approval flows
Data apps with row-level perms
Workflow automation & SLAs
Audit trails by default
Next.jstRPCPostgresTemporalCasbinHasura
Explore the service → /ops
Recent outcomes
Tickets resolved per ops FTE per day
Logistics ops · 2024
+41%
Approval cycle time, p50
Lending ops · 2025
11m
S06 · Foundation Layer 03

Platform, Cloud & Privacy Engineering

Secure, observable, compliant infrastructure underneath everything we build — and underneath what you already shipped.

AWS / GCP cloud foundations
Observability, SLOs & cost guardrails
PII, consent & DPDP / GDPR readiness
Disaster recovery + restore drills
AWSGCPTerraformDatadogCloudflareVault
Explore the service → /platform
Recent outcomes
P99 latency reduction after platform sweep
Marketplace · 2025
−63%
Monthly infra spend reduction
B2B SaaS · 2024
−38%

The honest comparison.

We won't pretend every project needs all three. Here's how to think about which layer your problem actually lives in.

Dimension
Intelligence
Product
Foundation
Where it lives in the stack
Above the product
Inside the product
Underneath the product
When you call us
You have a model that won't behave
You have a roadmap that's behind
You have a platform that's expensive or fragile
Typical engagement
8–16 weeks · 2–4 engineers
12–24 weeks · 3–6 engineers
6–12 weeks · 2–3 engineers
First milestone
Working prototype + eval harness · week 3
First vertical slice in production · week 3
Observability + SLOs in place · week 2
What we leave behind
Eval suite, runbooks, on-call playbook
Design system, test harness, deploy pipeline
IaC, dashboards, restore drill, cost guardrails
Pairs naturally with
Product Engineering · Platform
Foundation · Operations Tooling
Any layer above it

Three engagement shapes we see most often.

Pattern A

Agentic AI · in production

An agent that touches real money, real customers, and a real audit trail.

Stack
  • Intelligence
    Agentic AI Systems
  • Product
    Operations & Internal Tooling — analyst console
  • Foundation
    Platform, Cloud & Privacy — audit, secrets, SLOs
14–20 weeks · 4–5 engineers Pattern · A
Pattern B

Decision-driven product

A product where ranking, scoring, or routing is the primary value loop.

Stack
  • Intelligence
    Decision Intelligence + Adaptive UX
  • Product
    Product Engineering — web + mobile shell
  • Foundation
    Platform — feature store, drift, observability
16–24 weeks · 5–6 engineers Pattern · B
Pattern C

Foundation-first rescue

The team is shipping, but the platform is on fire. We start underneath.

Stack
  • Foundation
    Platform, Cloud & Privacy
  • Product
    Operations & Internal Tooling — runbook UI
  • Intelligence
    Optional later: Decision Intelligence
8–12 weeks · 2–3 engineers Pattern · C
Currently taking on Q2 builds

Have an intelligent system to build?

Tell us about the messy bit — the legacy system, the model that won't behave, the workflow no one wants to own. We'll come back with a discovery plan inside two business days.

response within
48h