AI Software & Automation

Intelligent Automation for the Modern Enterprise

We build AI-native software and intelligent automation systems that transform how your business operates, competes, and scales.

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Projects Delivered

Avg. Efficiency Gain

Client Retention

Trusted by Accenture Deloitte McKinsey & Co. IBM Salesforce

What we build

Three pillars of
transformation

From AI products to bespoke software and end-to-end automation—we design and ship systems that move the needle on your most critical metrics.

AI Products Development

Purpose-built AI applications that solve real business problems—from language models to computer vision and predictive analytics.

LLM-powered applications & copilots
Computer vision & image recognition
Predictive analytics & forecasting
RAG systems & knowledge bases

Custom Software Engineering

Scalable, cloud-native software built for longevity. We architect systems your team can own, evolve, and trust at any scale.

SaaS platform development
Cloud-native architecture & APIs
Mobile & cross-platform apps
Data pipelines & warehousing

Automation Solutions

Replace manual, repetitive work with intelligent workflows. Free your team to focus on what humans do best—while your systems handle the rest.

RPA bots & attended automation
AI-driven workflow orchestration
System integration & APIs
Document processing & extraction

How we work

From idea to impact

A proven methodology that de-risks AI projects and accelerates time-to-value without sacrificing quality or scalability.

01 —

Discovery

We map your processes, pain points, and opportunity areas to define the right AI intervention.

02 —

AI Architecture

We design the model stack, data strategy, and system architecture tailored to your specific context.

03 —

Development

Agile sprints with weekly demos. We build iteratively so you see progress—and can redirect—at every step.

04 —

Deployment

Zero-downtime launches with comprehensive testing, monitoring, and rollback capabilities built in.

05 —

Optimization

Continuous model retraining, performance tuning, and feature expansion as your data grows.

Featured case study

Real results, real clients

Intelligent Document Processing

Automating Invoice Processing for a Fortune 500 Logistics Firm

Their AP team was manually processing 12,000+ invoices per month across 14 entity types. We designed an AI-powered extraction pipeline using custom NLP models and RPA—eliminating 94% of manual touchpoints.

Reduction in processing time

10x

Throughput increase

Cost savings YoY

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Client voices

Heard from the people we serve

They didn't just build software—they transformed our entire operational workflow with AI that actually understands our business. ROI was visible within 6 weeks of go-live.

Marcus Reid

CTO, Global Logistics Inc. — Fortune 500

SpikesLab delivered an LLM-powered support system that reduced our ticket resolution time by 60%. Their technical depth and communication style made it feel like they were part of our team.

Sarah Lin

VP of Engineering, Nexus Fintech — Series C

We'd tried three other vendors before SpikesLab. None of them understood that automation without AI intelligence just moves the problem around. These folks get it.

James O'Brien

Head of Ops, Meridian Healthcare — $2B network

Insights

From the lab

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AI Trends

Why RAG Systems Outperform Fine-Tuned Models for Enterprise Knowledge Bases

Feb 14, 2026 · 8 min read

Automation

The Agentic Workflow Revolution: Building AI Systems That Act, Not Just Answer

Feb 7, 2026 · 12 min read

Case Studies

Measuring AI ROI: A Framework for Attributing Efficiency Gains to Automation

Jan 28, 2026 · 10 min read

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