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AI-Native IT Solutions

We build systems that think, learn and ship themselves

Everpeak designs and engineers AI-powered infrastructure, automation and intelligent products for teams who refuse to run on legacy software.

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AI systems shipped
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Uptime across deployments
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Avg. ops cost reduced
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Autonomous monitoring
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Every engagement moves through the same disciplined sequence — so you always know what phase you're in and what happens next.

01

Discover week 1

We map your current stack, data sources and bottlenecks, then define the measurable outcome the AI system needs to hit before a line of code is written.

02

Design week 2

Architecture, data pipelines and model selection get sketched and reviewed with your team — covering latency, cost and failure modes up front.

03

Build with AI week 3–5

Our engineers pair with in-house copilots to write, test and evaluate models and services in tight, versioned iterations — nothing ships untested.

04

Deploy week 6

Staged rollout with automated rollback, load testing and monitoring wired in before your first production request ever hits the system.

05

Optimize ongoing

Models get retrained, pipelines get tuned, and we send you a monthly performance report — so the system keeps improving after handoff.

IN
Data In
CLN
Clean
ML
Model
EVL
Evaluate
API
Serve
OUT
Insight

Six ways we put AI to work inside your business

From automating a single workflow to standing up a full data platform — we scope to the problem, not a fixed package.

01

AI Automation

Replace manual, repetitive workflows with agents that read, decide and act inside your existing tools.

02

Machine Learning Systems

Custom models for forecasting, classification and recommendation — trained on your data, owned by you.

03

Data Engineering

Pipelines and warehouses that turn scattered logs and spreadsheets into a single, queryable source of truth.

04

Cloud & DevOps

Scalable, monitored infrastructure with CI/CD baked in, so shipping a model update is a one-click event.

05

AI Strategy & Consulting

A clear-eyed audit of where AI actually moves the needle in your org — and a roadmap to get there.

06

Custom AI Products

End-to-end build of AI-native apps — from prompt design and RAG pipelines to the UI your team logs into.

Six AI capabilities, flip a card to see the impact

Natural Language

NLP / LLM
-70%

Reduction in manual ticket triage time using LLM-based intent classification.

Computer Vision

CV / Detection
99.2%

Defect-detection accuracy delivered for a client's automated QA line.

Predictive Analytics

Forecasting
±3%

Demand-forecast error margin, down from ±22% on legacy spreadsheet models.

Recommendation Engines

Personalization
+28%

Uplift in average order value after deploying a real-time recommendation layer.

Anomaly Detection

Monitoring
4.2s

Average time to flag a production anomaly before it becomes an incident.

Conversational Agents

Agentic AI
60%

Of support conversations resolved fully autonomously, end to end.

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AI models deployed to production
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Automated tasks processed monthly
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Enterprise clients supported
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Model monitoring accuracy
 
 
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An engineering team obsessed with making AI actually useful

Everpeak was founded by infrastructure and ML engineers tired of watching "AI initiatives" stall out as slide decks. We build production systems — the kind that run unattended at 3am and still send you a clean report by morning.

No black-box magic, no vendor lock-in. Every model, pipeline and dashboard we hand over is documented, owned and explainable by your own team.

  • Senior engineers only — no offshore hand-offs
  • Fixed-scope pricing, weekly demo cadence
  • Full source and model ownership on delivery

Trusted by teams shipping real AI products

★★★★★

"Everpeak automated our entire inventory forecasting in six weeks. We cut stockouts by a third in the first quarter alone."

Rhea Kapoor
COO, Nimbus Retail
★★★★★

"The team did not just hand us a model — they left us with a pipeline our own engineers can extend without calling them back."

Daniel Osei
CTO, Fieldbase
★★★★★

"The team did not just hand us a model — they left us with a pipeline our own engineers can extend without calling them back."

Meera Suresh
VP Engineering, Loomstack
★★★★★

" We went from a spreadsheet-driven support queue to an AI triage system that resolves 60% of tickets on its own."

Tomás Rivera
Founder, Fielo
★★★★★

"Genuinely one of the few teams that talks about AI in terms of uptime and cost, not hype. Refreshing."

Aiko Tanaka
Head of Data, Kanpai Foods
Limited onboarding slots this quarter

Let's design your first AI system together

Tell us what's slow, manual or duct-taped together — we'll show you what an AI-native version looks like within a week.