Private Equity
We help PE firms and their portfolio companies turn operational data into measurable value creation through AI, enterprise integration, and digital commerce.
Talk to an ExpertOperational Value Creation with AI and Enterprise Integration
AAXIS partners with PE operating teams to build the data infrastructure and AI capabilities that drive EBITDA improvement. We connect fragmented systems, surface actionable KPIs, and deploy AI where it moves margin.
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Unify Portfolio Data Across Holdings
Connect different ERPs, CRMs, and reporting systems across portfolio companies into one data layer. Consistent financial and operational visibility without system replacements.
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Deploy AI That Investment Teams Actually Use
Natural language access to governed KPIs so operating partners can ask deep questions without SQL skills. Built with guardrails to ensure answers trace back to real data.
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Accelerate Post-Acquisition Integration
Repeatable integration playbooks so each new acquisition connects to your data platform faster and cheaper than the last. Weeks, not months.
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Build AI-Powered Knowledge Management
Turn deal memos, CIMs, and due diligence documents into a searchable, structured asset using RAG and knowledge graph architectures
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Modernize B2B Digital Commerce
AI-powered search, dynamic pricing, and self-service portals that increase digital revenue and cut manual order processing costs across portfolio companies.
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Automate Operations at Portfolio Scale
AI agents for order entry, invoicing, and customer service. Deploy once, then scale across holdings through the same proven playbook.
Unified Semantic
Platform for a Global
PE Portfolio
Challenge
- •PE parent acquiring rapidly — each portco with its own systems, KPIs, vendors, and product taxonomies.
- •Consolidation slow and cross-portco insight was simply not possible.
Solution
- •Unified data platform with a common semantic model — entities, KPIs and metrics standardized across portcos.
- •Ontology that mapped disparate terminologies into a single normalized view.
- •Product and vendor harmonization enabling essential catalogs and supplier lists to be aggregated conversationally.
Outcome
- •Seamless onboarding for new acquisitions — no more bespoke integration per deal.
- •Visible, actionable synergies across the portfolio; margin expansion, bulk buying, centralized vendor negotiation.
6 mo → 6 wk
acquisition onboarding to common platform
$5M+
procurement synergies identified
~35%
reduction in supplier harmonization
8–12%
margin opportunity surfaced
Conversational
Intelligence for a
Fortune 500
Beverage
Bottler
Challenge
- • Critical knowledge fragmented across operational systems, BI reports, and unstructured documentation.
- • Business teams could not get fast, reliable answers without analyst gatekeepers.
Solution
- • Unified all structured and unstructured sources into a single data platform.
- • Knowledge graph capturing entities and relationships — products, plants, SKUs, distributors, KPIs.
- • Natural language interface with relevance reliability — with citations to source.
- • Conversational agent returning charts, tables, and narrative — grounded in the graph.
Outcome
- • Self-service insights for business users, far less dependence on data teams.
- • Faster, more confident decisions across operational and commercial functions.
~80%
reduction answered self-service
Days → Seconds
time to insight
60%
reduction in BI ticket backlog
1 graph
unifying silos, plants, distributors & KPIs
Product Catalog to
Intelligent Knowledge
Base
Challenge
- •Product knowledge scattered across unstructured catalogs and unstructured docs — spec sheets, FAQs, technical manuals.
- •Customers and internal teams could not reliably find accurate answers.
Solution
- •Consolidated all knowledge — structured and unstructured — into a unified knowledge repository.
- •Automatic extraction of entities and relationships into a queryable knowledge graph.
- •Smart search respecting relevance, confidence, and relativity — with citations to source.
Outcome
- •Single, trustworthy source of truth for product knowledge across the enterprise.
- •Accurate, context-aware answers for customer support, sales enablement, and internal teams.
90%+
customer self-confidence scoring
50% ↓
product return via deflection
100K+
documents and SKUs unified in one graph
Traceable
with citations and content lineage
INSIGHTS
Insights That Drive Omnichannel Performance
Explore how top retailers build platforms that unify customer journeys, pricing logic, and inventory data across all touchpoints.
Private Equity FAQs
See how AAXIS helps PE firms move faster and smarter.
We're tech-agnostic, with 75+ technology partners. Common PE deployments use Snowflake, Azure, Claude Enterprise, Salesforce, and SAP, but we build on whatever stack your portfolio companies already have in place.
No. AAXIS builds a harmonization layer on top of whatever systems your companies already run. We connect heterogeneous systems into a unified data platform without rip-and-replace migrations.
Most engagements deliver measurable outcomes within 90 days. We start with a focused pilot at one portfolio company, validate the approach, then scale the same patterns across additional holdings.
Our team builds and operates, not just advises. Every principal brings 25+ years of enterprise software and systems integration experience. We deliver working systems with measurable outcomes, not strategy decks.
A 60-minute scoping session to identify the highest-impact initiative, followed by a detailed technical roadmap with architecture, timeline, and investment. From there, a 90-day pilot with one portfolio company before scaling.