Unify every data source and put private AI on top — cited answers, running on your own infrastructure.
Client names under NDA
Use one on its own, or run all three on the same unified data layer.
Connect SharePoint, SQL databases, Excel files, and legacy systems — then ask questions in plain English. Your team gets instant, cited answers without learning a new tool.
Point-and-click data processing, ML model training, and dashboards — without the six-figure platform license. Built for analysts who want results, not vendor lock-in.
Upload a transactions file and get formatted, customer-ready invoices in seconds. No more manual spreadsheet wrangling at month-end.
Not a black box. One platform that connects every system, runs private LLMs on your own infrastructure, and keeps your data inside your network.

Pulled from SharePoint, Salesforce, Google Drive, legacy file shares, and on-prem databases. Chunked, indexed, versioned, and made queryable by the private LLMs running on top.
Pull from SharePoint, Salesforce, Google Drive, S3, and legacy file shares. Chunked, indexed, and deduplicated automatically.
Fine-tuned models running on your infrastructure. Your documents never leave your network.
Every answer is cited back to the source. Every ingest is logged. Every query is traceable.
We're measured by margin, not dashboards. Here's what that looks like across three industries. Customer names under NDA.
Case Study
Pricing automation for a Fortune 500 manufacturer
Challenge
Inconsistent pricing models and legacy data architectures made it nearly impossible to identify the right price and margin per customer.
Solution
Migrated and consolidated millions of records from legacy systems into a unified SQL database, then layered automated pricing and gross-margin analytics on top.
Case Study
Sales & pricing automation for a NASDAQ-listed security company
Challenge
Pricing data was manually sourced from Salesforce, Excel, and SQL databases — slowing execution, introducing errors, and blocking margin analysis.
Solution
Built an automated pricing system that unified disparate data into a single source of truth and generated accurate product-level margin insights based on customer.
Case Study
Guest data unification for an international hotel group
Challenge
Property data was not standardized, making it difficult for marketing and guest-experience teams to deliver a seamless, personalized guest experience.
Solution
Deployed cloud and on-prem servers running custom data cleaning logic, leveraged private LLMs for guest enrichment, and consolidated everything into one SQL database.
The same path behind every deployment — from food ingredients to hospitality to security technology.
Akyla inventories every source that touches the workflow you care about — Excel workbooks, SQL tables, Salesforce objects, and on-prem systems.
Akyla connects your systems and automates the workflows your team runs by hand — pricing engines, margin analytics, customer models, and private LLMs on your data.
Success shows up in dollars saved, hours reclaimed, and customers identified — not slides. Akyla keeps compounding as it runs on your data.
30 minutes. See Akyla running on your own data, and where it drives the most margin.
See it running on your own data. 30 minutes, no commitment.