Your business made effortless.

We are an AI consulting and managed services firm that delivers and maintains end-to-end AI solutions, covering everything from infrastructure and deployment to company strategy and solution engineering, so you can focus on what you do best.

Solutions

We deliver practical applications of AI to automate and augment business processes, saving you time and money.

Deployment

We deploy AI applications and private models on any of the major cloud providers, ensuring secure and scalable AI systems.

Strategy

We create custom-tailored plans on how you can start leveraging AI to improve business efficiency.

Deep Dive

We do technical deep dives into AI systems to provide you with comprehensive risk assessments and improvement strategies.

Infrastructure

We design and build custom AI server infrastructure to locally host models, providing you with complete control, enhanced privacy, and cost-effective solutions for your AI operations.

Impact

$1.96M

saved for clients on vendors, internal tools, processes, and software management.

engagements delivered: solutions built, infrastructure deployed, strategies laid out, applications launched, and deep dives mapped to completion.

businesses served, from single-workflow automations to company-wide platform builds.

verticals — manufacturing, finance, fintech, telecom, healthcare, agriculture, wealth management, private equity, and more.

47%

Reduction in a client’s cloud bill, delivered as a cloud cost-reduction consultation — with no loss of application performance and no downtime

AWS Deployment/Cost Reduction

4 hrs → 3 mins

To deploy an IoT water-monitoring device, after we automated the software side of deployment

IoT Water Monitoring Platform

$1.6M

Platform quote declined — a bespoke internal tool we rolled out did the job instead

Competitive Intelligence Platform

$270K

Quoted by a third-party data consulting firm to produce the datasheets by hand — work we automated at a fraction of the cost

Automated Datasheet Generation

$60K/yr

Third-party contract reviewer vendor removed outright, once our tooling replaced them

Multi-Agent Contract Intelligence

$1M

Contract clause our system caught that the third-party reviewer had missed

Multi-Agent Contract Intelligence

7,500

Employees served by the internal, enterprise-wide AI tool we built

Enterprise AI Portal

20,150

Queries the portal receives every week, growing +23% week over week

Enterprise AI Portal

<1 min

To review a contract, against the third party vendor’s 30 minutes to 5 hours

Multi-Agent Contract Intelligence

1,768,427

SKUs normalized across the parent business and every business it had acquired

SKU Normalization & Lookup Tool

600+ → 48

Reduction in attributes on SKUs from leveraging a custom-built automation designed to condense and normalize SKU attributes

Automated Datasheet Generation

25+

Competitors tracked continuously — 181 sources ingested hourly, with critical alerts on competitor actions reaching leadership 1–3 times a week

Competitive Intelligence Platform

65,000

User files migrated inside a live production database — the entire data set of a 7,500-person company, with zero degradation of the user experience

Platform File Data Migration

3M+

Records of chunk, file, and embedding data migrated across the platform’s document and object storage, with zero user-facing degradation

Platform File Data Migration

7 hrs → 3 mins

Weekly regulatory data collection for a six-person business — about $210 a week of staff time returned

Regulatory Compliance Agent

1,400

Dairy producers whose production data one platform aggregates, flagging quality issues automatically

Data Agent & Report Generator

$200 → $0.09

Projected weekly cost of dairy reporting and forecasting, upon automation implementation

Data Agent & Report Generator

45 hrs

Cut from monthly marketing reporting by aggregating all third-party ad platform analytics into one portal

Marketing Analytics MCP

300/mo

HR questions deflected from the HR department to HR agent each month, across a 2,000-person company

HR Agent

$8K → $500

Reduction in monthly cost of LLM training and experimentation, moved from cloud GPUs to an on-prem cluster

On-Prem Server for AI Development

35,000

Products queryable through an MCP layer housing an enterprise’s entire product catalog, including 1,840 columns of product attributes

Product Inventory Management MCP

9,500

Isolated AI sandboxes orchestrated up and down on demand, one per user

Secured AI Execution Sandbox

1M/min

Tokens our custom file ingestion pipeline for an enterprise AI portal can process per minute, across every file type including images

Enterprise File Ingestion Pipeline

30%

Reduction in home goods manufacturing cost from the AI-driven manufacturing system

AI-Driven Manufacturing System

Featured Work

Industrial manufacturing · ~7,500 employees

Enterprise AI Portal

Replaced an incumbent AI vendor. 40% of the company registered on ours.

The company was paying an outside consultancy for an AI platform that underperformed, and employees who tried it once never came back. We replaced it with a governed portal the company actually uses: secure sandboxes where AI writes and executes code on a user's behalf, reading, editing and embedding of any file type, agent and project creation that people can share with one another, and custom dashboarding and presentation building. The incumbent vendor's service was discontinued and ours has been running ever since.

7,500

employees the portal was built for, company-wide

3,000

registered users — about 40% of the company

20,150

queries per week, growing +23% week over week

6 months

of daily-active data with zero decay

Private equity

Due Diligence for Acquisition

A risk assessment and a post-acquisition plan, before the money moved.

A private equity firm was evaluating an acquisition and needed to know what it was actually buying — what the target’s software and cloud infrastructure would cost to carry, where the real risk sat, and what modernizing it would take. We ran a technical deep dive across the codebase and cloud footprint, interviewed key stakeholders on both the engineering and the business side, and delivered a written risk assessment paired with a post-acquisition software strategy the firm could act on.

Consumer goods · home products

AI-Driven Manufacturing System

AI that designs the part and runs the machine that makes it.

A home goods business wanted to get from an idea to a finished physical product without a traditional design-and-machinist pipeline in between. We built a small-scale manufacturing system where AI drives the machines directly, using open-source tooling to bridge models to the hardware and to turn user-supplied renderings into manufacturable design files. The whole system is orchestrated by Claude Code. We built and implemented the system, and it has cut the cost of manufacturing home goods by around 30%.

~30%

reduction in the cost of manufacturing home goods

Consulting

On-Prem Server for AI Development

Cloud GPU spend replaced by an electricity bill.

Extended LLM experimentation was priced out by cloud GPU rates at a consulting firm. We designed and built a custom on-premise GPU cluster capable of running several open-source models at once, so development and training happen on hardware the firm owns and client data never leaves the building. The recurring cost of AI development became the server’s energy bill.

$8K → $500

monthly cost of LLM training and experimentation

~94%

reduction in recurring AI development compute spend

Portfolio

Model

Cloud Platform

Service

Technology

Vertical

Contact

No forms, no qualification funnel. Tell us what you’re working on — the problem, the constraints, whatever shape it’s in — and you’ll hear back from someone who can actually talk about it.

Email us

or write to team@jldataworks.io