Forward-deployed engineering · Now booking

EnterpriseAItransformationatscale

Forward-deployed engineers. AI-native platforms. Enterprise outcomes. We embed in your org and ship transformation that holds up under audit, load, and the board — not just the demo.

Forward-deployed engagement
01
DiscoverMap systems & success
02
DesignArchitecture, eval plan
03
BuildShip to staging
04
DeployProduction & on-call
Embedded
Forward-deployed engineers in your team
Accountable
On-call after every cutover
Eval-backed
Harness & runbook ship with the system
Outcome-led
Scoped to results, not billable hours
Services

Outcomes, engineered.

Six services, one standard. Forward-deployed engineers ship measured systems with eval harnesses, observability, and a runbook. Demos are easy. Enterprise operations are the work.

Custom AI

Custom AI solutions

Production-grade copilots, autonomous agents, and domain models engineered for your workflows and KPIs.

Explore →3× faster decision cycles
Strategy

AI strategy & consulting

Leadership-facing strategy, use-case prioritization, and adoption plans that connect AI investments to measurable outcomes.

Explore →40% faster roadmap alignment
Infra

Enterprise AI infrastructure

Secure, scalable infrastructure for serving models, connecting data, and operating AI reliably at scale.

Explore →99.9% model reliability
Modernize

Application & legacy modernization

Refactor, replatform, and modernize systems incrementally to unlock speed, resilience, and developer productivity.

Explore →2× development velocity
QA

AI-powered QA & testing

Shift-left testing with generated test suites, synthetic data, and automated quality gates built into CI/CD.

Explore →90% faster regression coverage
Data

Data engineering services

End-to-end data platforms, feature stores, and pipelines that make data trusted, accessible, and model-ready.

Explore →AI-ready data in 30 days
Operating model

Why forward-deployed wins.

Conventional consulting hands you a deck and a bill. We embed senior engineers, accelerate with our own platforms, and stay accountable to the outcome.

01

Forward-deployed engineers

Senior engineers embed inside your org — in your standups, your codebase, your constraints. Not a statement of work thrown over a wall.

02

Platform-led delivery

Every engagement is accelerated by our six proprietary platforms, so you get the speed of a product and the fit of a custom build.

03

Outcome accountability

We measure in business outcomes and stay on-call after cutover. The eval harness and runbook ship with the system.

How we compare
Quorq
Conventional
Engagement model
Embedded in your team
Hand-off over the wall
Accountability
On-call after cutover
Ends at handover
Delivery
Platform-accelerated
Built from scratch
Pricing
Scoped to outcomes
Billed by the hour
Platform suite

Six platforms behind every build.

Our forward-deployed teams don't start from scratch. Reusable platforms spanning SDLC, agentic AI, modernization, data, analytics, and QA.

0101 / 06

Custom Software / SDLC

Accelerated delivery platform — scaffolding, review, release gates that compress build cycles.

  • Scaffolding
  • Automated review
  • Release gates
0202 / 06

Agentic AI Platform

Build, evaluate, and ship autonomous agents with tooling, guardrails, and eval harnesses baked in.

  • Agent tooling
  • Guardrails
  • Eval harnesses
0303 / 06

App Modernization Platform

AI-assisted analysis, refactoring, and migration of legacy estates — reversible and audited.

  • Legacy analysis
  • Refactoring
  • Migration
0404 / 06

Data Engineering Platform

Pipelines, quality, and lineage to make enterprise data trustworthy and AI-ready at scale.

  • Pipelines
  • Data quality
  • Lineage
0505 / 06

Enterprise BI / Analytics Platform

Self-serve analytics and semantic layers that turn warehoused data into board-level decisions.

  • Semantic layer
  • Self-serve BI
  • Governed metrics
0606 / 06

AI QA / Testing Platform

Automated test generation, quality gates, and regression coverage wired into your CI/CD.

  • Test generation
  • Quality gates
  • Regression coverage
Explore the platform suite
Process

How we actually work.

Four phases, calibrated to ship. No discovery decks padded to a quarter. No 'AI strategy' months. Just the work, instrumented.

Engagement timeline

Considered. Candid. Operational.

Three commitments that gate every brand decision — and every line of code we ship.

  • 01DiscoverMap the system, not just the request.
  • 02DesignArchitecture you can defend in a review.
  • 03BuildShip to staging in weeks, not quarters.
  • 04DeployProduction, with an on-call rotation.
PHASE / 01

Discover— Map the system, not just the request.

Two weeks with your operators. We trace the actual workflow, surface the constraints nobody wrote down, and define what success looks like in numbers.

Artifact
Stakeholder map
Artifact
Process trace
Artifact
Success metrics
PHASE / 02

Design— Architecture you can defend in a review.

We commit to the shape of the system: data flow, model choice, eval harness, and the rollback plan. Every decision has a why attached.

Artifact
Architecture doc
Artifact
Eval plan
Artifact
Risk register
PHASE / 03

Build— Ship to staging in weeks, not quarters.

Tight feedback loops with your team. Working systems early, instrumented from day one. Demos against the eval harness, not curated cases.

Artifact
Staging deploy
Artifact
Eval scores
Artifact
Runbook v0
PHASE / 04

Deploy— Production, with an on-call rotation.

Cutover with monitoring, drift alerts, and a clear handoff. We stay paged for the first 30 days — accountable to the same dashboards your team is.

Artifact
Prod release
Artifact
Monitoring
Artifact
30-day on-call
Stack & innovation

Boring tech, where it earns it.

We default to proven infrastructure and reach for the new only when the cost is justified. Innovation isn't novelty — it's the right tool, well operated.

PythonTypeScriptGo
PyTorchDockerHuggingFaceFastAPI
PostgresRedisSnowflakeDuckDBQdrant
Modeling
  • PyTorch
  • JAX
  • Transformers
  • Triton
  • vLLM
  • TensorRT
Retrieval & data
  • pgvector
  • Postgres
  • DuckDB
  • Snowflake
  • Kafka
  • Redis
Orchestration
  • Modal
  • Ray
  • Temporal
  • Argo
  • Airflow
  • Dagster
Eval & observability
  • Braintrust
  • OpenTelemetry
  • Datadog
  • Langfuse
  • Phoenix
Two forward-deployed teams open this quarter

Bring us a specific problem. We'll embed and transform it.

A free 30-minute assessment. We'll tell you whether AI is the right tool, where the enterprise leverage is, and what a forward-deployed engagement would look like — with an ROI you can take to the board.

contactus@quorq.aiNDA-friendlyReply within 24 hours