Applied Intelligence

We build

Applied AI for operations that can't afford to be wrong. We automate workflows, deploy agents, and integrate the systems your team already depends on.

How it works

AI Integration Delivery

From messy workflow to production system. One senior engineering path from diagnosis to adoption.

1

Workflow Audit

Map the work, systems, data, and failure modes before choosing where AI belongs.

2

Integration Design

Pick the model, tools, retrieval paths, permissions, and human review loops for the job.

3

Build & Ship

Wire AI into the actual workflow with tests, deployment, observability, and rollback paths.

4

Operate & Improve

Measure real usage, tune prompts and tools, and expand only where the system earns it.

Models to production

The orchestration layer between AI providers and your product. Every connection reliable.

MODELSAccess AI reasoning

Access the world's most capable AI models. We integrate OpenAI, Anthropic, Google, and emerging players to match the right model to your use case—whether that's complex reasoning, fast inference, or specialized tasks.

INFERENCEReliable, fast delivery

Intelligent routing through battle-tested providers. Automatic failover when providers go down, cost optimization across tiers, and sub-100ms latency for real-time applications.

STACKProduction infrastructure

Built on proven frameworks that scale. Laravel, Rails, Django, and more for robust backends. React, Vue, Next.js; whatever fits your stack.

Systems We Build

Make AI operational

The sell is not a chatbot. It is AI that can read the right context, take the right action, and leave an audit trail your team can trust.

WORKFLOWS

Workflow Automation

Intake, triage, research, routing, drafting, and reporting flows connected to the tools your team already uses.

AGENTS

Agentic Operations

Tool-using assistants with constrained permissions, observable actions, and human review where mistakes matter.

PRODUCT

Product Integration

AI features inside existing applications, with auth, data boundaries, evals, monitoring, and failure handling.

AI Tooling

Train your team
to ship with AI

We get AI coding tools into your team's hands and train them to use AI as a force multiplier, while your subject matter experts stay focused on the business.

AI-Assisted Development
LIVE
INCOMING SUGGESTIONS
Generating suggestions...
YOUR CODEBASE
api/handler.ts
1import { ApiError, rateLimit } from './middleware';
2import { cache, logger } from './services';
3
4export async function handler(req: Request) {
5 const user = await auth(req);
6
7 // AI suggestions will appear here
8
9 return res.json({ ok: true });
10}
TASKS SHIPPED
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Train My Team

Integration Launch

AI that fits
the business

AI integration only works when it is wired into real operations. We design the workflow, build the system, and keep the handoff tight.

Focus

AI integration

Shape

Fixed-scope launch

Aftercare

Tuning available

Scope

Integration Sprint

2-6 weeks

  • Workflow mapping and integration plan
  • Model, provider, and data-flow decisions
  • Prompt, retrieval, and tool-calling architecture
  • Production implementation with auth, logging, and failure handling
  • Operator handoff docs and team enablement
  • Post-launch tuning from real usage

Path

Start small, then operationalize

Built for measurable workflow adoption

Pilot

Validate

Ship a contained integration against one valuable workflow, then decide what deserves expansion.

Production

Common path
Scale

Move the workflow into daily operations with monitoring, permissions, support paths, and team rollout.

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