The Bottlenecks Draining Your Operational ROI

Most businesses reach us at the same inflection point: their teams are smart, their data is rich — but their tools can't keep up. If you recognize any of these friction points, your tech stack needs more than another subscription.

The SaaS Subscription Trap

Enterprise platforms like ServiceTitan, Salesforce Einstein, or Intelligence Node charge five- to six-figure annual fees for software built around someone else's business logic. You spend years adapting your operations to their platform instead of owning a system that adapts to you.

Fragile Scrapers and Stale Data

Standard price-tracking and data tools rely on rigid HTML parsing. The moment a competitor redesigns their site, your scraper breaks and you're flying blind — sometimes for days before anyone notices.

AI-Washed Legacy Systems

Your current ERP or CRM vendor has "added AI." In practice, it's a chatbot wrapper on top of the same slow database queries. Real AI business process automation means replacing manual decision loops — not decorating them.

Invisible Tail Spend and Margin Leaks

Low-value, high-frequency decisions — supplier reorders, returns processing, lead qualification, intake forms — consume 60–80% of your team's time. No one builds AI for these because they seem too small. They aren't.

Disappearing from AI-Generated Search

If ChatGPT, Perplexity, and Google's AI Overviews don't surface your business when buyers ask for vendors in your category, you're invisible to the highest-intent segment of 2026 search traffic.

 Custom AI Development Services

We engineer six categories of AI systems, each deployed as a standalone solution or as part of a connected autonomous operations layer.

[01]

Generative AI & LLM Application Development

Production-grade generative AI built on your proprietary data — not a generic ChatGPT wrapper. Internal knowledge bases, document intelligence, and automated content pipelines, integrated via secure API.

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    Private LLM deployment — your data stays in your perimeter
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    RAG architecture trained on your domain-specific datasets
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    Direct API integration with your existing enterprise stack

[02]

Agentic AI & Autonomous Workflow Systems

Our AI agent development services go beyond simple triggers and if/then rules. We deploy multi-step autonomous workflows that reason, plan, and execute without human intervention between steps — with approval gates you control at every critical decision point.

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    Handles RFP analysis, supplier negotiations, and customer intake autonomously
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    Human-in-the-loop approval at every critical decision point
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    Scales from a single workflow to a full autonomous operations layer

[03]

AI Business Process Automation

Replace your highest-cost manual decision loops with AI-driven workflows that pull directly from your ERP, CRM, and source systems — not a Zapier chain with a GPT wrapper on top

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    Direct integration with SAP, Coupa, Shopify, Magento, NetSuite
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    Real-time processing — not weekly batch exports
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    Measurable ROI within 60–90 days of deployment

[04]

AI-Powered Analytics & Business Intelligence

Real-time intelligence that synthesizes competitor pricing, market signals, and internal KPIs into one decision-ready dashboard — updated continuously, not once a week.

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    Competitor price tracking that self-heals when website layouts change
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    Customer behavior analysis and demand forecasting
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    Custom BI dashboards your operations team actually uses daily

[05]

AI Development for E-Commerce Operations

Custom AI for Shopify, Amazon, and Magento — from dynamic pricing and return fraud detection to listing optimization and inventory forecasting. Systems you own, not plugins you subscribe to.

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    SKU-level true cost modeling: shipping + restocking + depreciation
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    Behavioral risk scoring that flags serial returners before checkout
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    Automated repricing within your custom price floor rules

[06]

AI Procurement & Supply Chain Optimization

End-to-end automation for procurement’s most margin-critical workflows: RFP data extraction from unstructured PDFs, dynamic TCO modeling, and agentic tail spend management.

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    NLP extraction from 100-page unstructured vendor PDFs in minutes
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    Dynamic CapEx vs. OpEx normalization across competing proposals
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    Autonomous tail spend agents for SAP Business Network, Coupa, Jaggaer

Why the Top AI Automation Agencies All Choose One Approach — and Why We Don't

Most vendors force a binary choice: hire a classic software agency and wait 12 months for a bespoke build, or buy an off-the-shelf AI platform and spend the next year fitting your business to its template. We built a third path.

Classic Software Engineering

When Reliability Is Non-Negotiable

For financial data handling, ERP integrations, compliance-critical workflows, and anything that touches your primary system of record.

Secure, auditable, penetration-tested.

Generative AI & Agentic Frameworks

When Intelligence Is the Product

For unstructured data extraction, document understanding, autonomous agent workflows, and dynamic content generation.

Frontier LLMs deployed within your private cloud perimeter.

Low-Code Orchestration

When Speed Is the Competitive Edge

For dashboards, workflow automation, and internal tooling your operations team uses daily. Enterprise-grade low-code environments (Retool, self-hosted n8n).

Cuts deployment time by up to 40%.

"The right engineering approach for each component — not the same hammer for every nail."

From Architecture Audit to Autonomous Operations: Your 5-Step Engagement

Every engagement starts with diagnosis, not a sales pitch. We don't recommend solutions until we understand your data, your stack, and your actual margin leaks.

[ Step 1 ]

Deep-Dive Architecture Audit

We analyze your current tech stack, operational workflows, and data infrastructure. Our analysts identify the exact automation opportunities with the fastest ROI — distinguishing between what can be automated today vs. what requires foundational data work first.

Deliverable:
Opportunity map with ROI estimates by workflow category
[ Step 2 ]

Stack Integration & Data Mapping

We audit how data flows through your existing systems (ERPs, CRMs, e-commerce platforms) and define the API integration architecture. We map every data handoff — from source systems to AI processing to your primary system of record.

Deliverable:
Technical architecture diagram + integration specification
[ Step 3 ]

14-Day Working Prototype

Instead of months of blind development, you see a functioning proof-of-concept within two weeks. Built on your real data, solving your actual problem. This prototype becomes the foundation for the production system — not a throwaway demo.

Deliverable:
Functional PoC with live data
[ Step 4 ]

Secure Production Deployment

All AI models and data processing run within your private cloud environment. We enforce SOC2/GDPR compliance, ensuring your proprietary pricing, vendor relationships, and customer data never leave your perimeter or train public models.

Deliverable:
Production-grade system with monitoring
[ Step 5 ]

Human-in-the-Loop Activation & Scaling

We run training with your team, establish approval workflows, and gradually expand autonomous operations as trust builds. The system earns more autonomy — your team always retains override control.

Deliverable:
Trained team, operational runbooks, scaling roadmap

Deployments That Moved the Margin Needle

Automotive Manufacturing · Tier-1 supplier, ~$2B revenue

14% Raw Material Cost Reduction for a Tier-1 Automotive Manufacturer

― THE PROBLEM

Manual RFP analysis made it impossible to evaluate alternative alloy proposals submitted in free-text PDF format, leaving engineering value on the table with every tender cycle.

― THE SOLUTION

Manual RFP analysis made it impossible to evaluate alternative alloy proposals submitted in free-text PDF format, leaving engineering value on the table with every tender cycle.

― THE RESULT
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    14% reduction in raw material costs via validated alternative alloy
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    RFP evaluation time cut from 3 weeks to 4 days
Cost: $55,000  |  Timeline: 12 weeks
Enterprise IT Infrastructure  ·  Fortune 500 technology division

RFP Evaluation Time Cut from 28 Days to 72 Hours for Enterprise IT

― THE PROBLEM

An enterprise IT department spent 4 weeks manually comparing 150-page RFPs for a network infrastructure overhaul, unable to normalize CapEx vs. OpEx financial models across vendors.

― THE SOLUTION

Custom data extraction pipeline feeding into a dynamic TCO modeling dashboard, automatically converting all vendor proposals into a unified financial comparison framework.

― THE RESULT
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    RFP evaluation: 28 days → 72 hours (94% reduction)
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    Financial forecasting accuracy improved by 94%
Cost: $72,000  |  Timeline: 3.5 months
Direct-to-Consumer Retail  ·  Mid-market DTC brand, $15M–$50M GMV

38% Drop in Fraudulent Returns for a DTC Retailer

― THE PROBLEM

A direct-to-consumer brand was losing margin to wardrobing and serial returners it had no systematic way to identify before issuing refunds.

― THE SOLUTION

Behavioral risk scoring system that analyzes return velocity, order patterns, and item categories to flag high-risk returns before checkout approval.

― THE RESULT
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    38% drop in fraudulent returns
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    $180K in protected margin over 6 months
Cost: Not disclosed  |  Timeline: 4 weeks
Vladislav Volovik
Data & Analytics Lead
E-commerce data analyst at Sephora (LVMH Group) in Paris. Previously five years at Allianz Technology as a consultant, where he built BI solutions on SAP Analytics for IT cost optimization across the group. EDHEC Business School, MSc in Consulting & Digital Transformation. He designs the data models and BI layer on every engagement — the part that decides whether reporting takes one click or one analyst.
Alexander Soldatov
Product Lead
Ten years in product leadership at Yandex, AliExpress, and Tinkoff. Built Yandex.Scooters operations from zero and scaled the team to 23 specialists; led Yandex.Shuttle; ran cross-border logistics products at AliExpress, launching China and Turkey corridors that delivered 3.5% GMV growth and 25% faster order fulfillment. He owns hypothesis validation and MVP scoping here — deciding what gets built first and what gets cut.
Sergey Rodin
Managing Partner
Founder of Lava Media, a video marketing agency in San Diego. Produced 900+ campaigns for Reebok, Rimmel, 3M, Vivo, and Meizu, managing monthly media budgets north of $20,000 and taking Meizu to 4% market share in a new market. He runs client engagements end to end — scoping, commercials, and delivery.

 The Enterprise AI Tech Stack

A deliberate stack — combining frontier AI capabilities with battle-tested engineering — chosen for security, reliability, and long-term maintainability over novelty.

Intelligence & LLMs

Azure OpenAI (GPT-4o)
Anthropic Claude (claude-sonnet-4-6)
Meta Llama 3 (private on-premise)

Agentic Frameworks

LangChain
CrewAI
pgvector (vector databases)

Data Extraction

Firecrawl
Jina AI
AWS Textract
Google Document AI

Core Backend

Python (FastAPI)
PostgreSQL

Workflow & UI

Self-hosted n8n
Retool — SOC2-compliant

Native Integrations

SAP Business Network
Coupa
Jaggaer
 Shopify Plus
 Amazon Seller Central
 Magento
 NetSuite

Frequently asked questions