Unify every data source and put private AI on top — cited answers, running on your own infrastructure.
Client names under NDA
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.
Schedule recurring reports, refreshes, and alerts to run on their own — delivered to email, Slack, or your dashboards.
A dedicated suite for finance teams and traders — fundamentals, live market charts, and buy-side research, all on the same data layer.
As-reported SEC fundamentals, financial statements, valuation multiples, and a full US-equity screener. Explore it in the app — or pull it straight into your stack with one REST API key.
A living deck of market and macro-economic charts — rates, liquidity, credit, and cross-asset signals — updated continuously and built to explore.
Deep, buy-side-grade equity research and weekly market insights — the full analytics behind every call, from thesis to valuation.
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.