Facebook Pixel
lego block logo

Integrate

AI that ships. Not AI that demos.

Copilots, RAG search, and process automation — scoped as a pilot, measured against a baseline, and shipped with evals and cost controls.

Request anArchitecture Audit

ZapBot

Book a30-Minute Call

Service IconOur Services

Engineering AI for the real world.

We don't just string together API calls. From untangling messy enterprise data to architecting autonomous multi-agent systems, we build AI natively into high-performance web, mobile, and internal platforms.

End-to-end AI product builds

End-to-End AI Product Builds (Web & Mobile)

We build AI-native applications from the ground up. Whether it is a scalable web platform or a high-performance iOS/Android app, we integrate intelligent features directly into the core architecture rather than bolting them on as an afterthought.

Complex data pipelines and advanced RAG

Complex Data Pipelines & Advanced RAG

We untangle messy, unstructured enterprise data. Our engineers build custom ingestion pipelines and high-precision retrieval architectures, ensuring your models have accurate, real-time context without hallucinating.

Multi-agent systems and dynamic workflows

Multi-Agent Systems & Dynamic Workflows

Move past rigid, single-prompt bots. We architect autonomous, multi-agent systems capable of reasoning, routing, and executing complex, multi-step operations with full human-in-the-loop controls.

Internal tooling and operational automation

Internal Tooling & Operational Automation

We replace fragmented legacy processes with bespoke AI tooling. By automating deep operational workflows—from intelligent triage to complex QA checks—we build internal systems that radically cut overhead and drive immediate ROI.

Enterprise security and model guardrails

Enterprise Security & Model Guardrails

Production AI requires production security. We implement strict data segregation, granular access controls, and dynamic prompt guardrails so your proprietary data never leaks and models remain strictly on-topic.

LLMOps and rigorous evaluations

LLMOps & Rigorous Evaluations

We don't deploy and pray. We build automated evaluation frameworks into your CI/CD pipelines to measure response quality, latency, and business KPIs, proving the impact of your AI before and after launch.

Service IconEngagement Models

From concept to production, without the blind spots.

We don't guess. Every engagement is structurally de-risked with clear baselines, rigorous evaluations, and a defined roadmap before we write a single line of production code.

Architecture & Readiness Audit

We audit your existing data, infrastructure, and workflows. You get a technical blueprint, feasibility check, and a strict ROI baseline before you commit to a build.

The Production-Grade Pilot

We scope and build a tightly bound pilot using real data. We implement telemetry and evals to prove the model's accuracy, latency, and business impact in a controlled environment.

End-to-End Integration

The pilot scales into a core feature. We harden the infrastructure, integrate the AI deeply into your web/mobile product or internal systems, and hand over a clean, fully documented codebase.

Service IconThe Deployment Lifecycle

Engineering an AI rollout, not just a launch.

We don't deploy and pray. Our deployment methodology is designed to untangle complex data, prove measurable ROI, and scale securely without risking your core infrastructure.

Request an Architecture Audit

Skip the sales pitch. Book a 30-minute deep dive with our engineering leads to discuss your architecture, data pipelines, and technical feasibility.

Step 1

Strategic Architecture & ROI Baseline

We audit your data pipelines and operational bottlenecks to define technical feasibility, security perimeters, and a strict ROI baseline before a single line of code is written.

Step 2

The Production-Grade Pilot

No toy prototypes. We scope and deploy a highly functional, tightly bound system using your actual enterprise data in a controlled environment to prove real-world viability.

Step 3

Telemetry, Evals & Guardrails

We instrument automated evaluation frameworks into the CI/CD pipeline to continuously measure LLM latency, token cost, and accuracy, enforcing strict semantic guardrails against hallucinations.

Step 4

System Hardening & Core Integration

Once validated, we graduate the pilot into a core feature. We harden the infrastructure for high availability, scale the multi-agent workflows, and seamlessly integrate the system directly into your web or mobile app.

Step 5

Phased Rollout & Total Handover

We manage a staged, closely monitored deployment to your users. Once the system is stable and cost-optimized, we hand over a clean, fully documented codebase for your internal team to own.

Tech Stack

What We're Great At

Every stack we ship is built on tech your team can hire for, maintain, and scale. Nothing obscure. Nothing experimental. A foundation built for production.

Core Stack

React
Next.js
Node.js
Express
PHP
Laravel
Python
FastAPI
GCP
Docker
AWS

AI & Observability Layer

Claude API
Claude Code
Cursor
Windsurf
Warp
Langfuse
n8n
OpenRouter
Pencil
Service IconCase Study

Three to five days turning a brief into a scope. Now under an hour.

We built the pre-sales OS we needed ourselves: drop in a brief, AI scopes and prices it, branded PDF out. Every number traces to your rate card. Live public beta.

8mo

To public beta

<1hr

Per deal (from 3–5 days)

100%

Traceable estimates

Read the Prophic case study →
Prophic AI
Service IconFAQs

What you're probably wondering

Talk to an engineer

30 minutes. You'll leave with a rough scope and a real timeline — whether or not you work with us.

Get an instant estimate →
No commitment required
You leave with a scope and timeline
If we're not the right fit, we'll tell you

Last updated: