What we
build

Four practices, one operating model. We take AI from idea to production and keep it running.

All services →
01 / STRATEGY
AI Strategy & Readiness
Assessments, roadmaps, use-case prioritization, and build-vs-buy decisions.
02 / SYSTEMS
Custom AI Systems
LLM applications, AI agents, RAG pipelines, and bespoke ML models.
03 / INTEGRATION
AI Integration & Automation
Workflow automation, legacy system integration, and API orchestration.
04 / GOVERNANCE
AI Governance & Operations
Security review, compliance, model monitoring, and managed AI ops.
hello@apls.ai SOC 2 · ISO 27001 · Data residency on request
S.02 Services — Custom AI Systems

Systems that survive contact with production.

LLM applications, AI agents, and RAG pipelines delivered as production code with evaluation harnesses and documentation — not a notebook that worked once.

Delivery cycle
4–8 WEEKS
Code ownership
YOURS, ENTIRELY
Evaluation
TASK-SPECIFIC EVALS, ALWAYS
S.02.1What you get

What we build.

B.01
LLM Applications

Document processing, drafting, analysis, and decision support — grounded in your data, measured against your quality bar.

B.02
AI Agents

Bounded autonomy with explicit escalation paths. Every action logged; every exception routed to a human.

B.03
RAG Pipelines

Permission-aware retrieval over your knowledge base. Answers carry citations; access control carries through.

B.04
ML Models

Forecasting, classification, and anomaly detection where a fitted model beats a prompted one.

S.02.2How it runs

Ship in cycles, not phases.

C.1
Blueprint

Architecture, data flow, and eval design agreed with your security and platform teams before code.

→ Output: solution blueprint
C.2
Build

Working software every cycle — deployed to your environment, tested against the eval harness.

→ Output: production system
C.3
Harden

Load, cost, and failure modes exercised. Runbooks written. Your team trained to own it.

→ Output: operations runbook

Bring us the system you need.

Start a conversation