AI Engineering · Solutions · Consultation

Intelligence
Engineered.

We don't sell AI tools or strategy decks. We build the engineering layer that makes artificial intelligence work in production — reliably, at scale, and without the theatre.

40+
Systems shipped
73%
Avg latency drop
0
Missed deadlines
Start a ProjectSee Our Work→
Software Engineering at the Core · Est. 2026 · Lagos, Nigeria
Available for new projects
AI Engineering ✦ ML Infrastructure ✦ Software at the Core ✦ Solutions & Consultation ✦ Scalable Systems ✦ Production AI ✦ Built Different ✦ Ships on Time ✦ AI Engineering ✦ ML Infrastructure ✦ Software at the Core ✦ Solutions & Consultation ✦ Scalable Systems ✦ Production AI ✦ Built Different ✦ Ships on Time ✦
01

What We Build

01
AI Engineering

We design and build AI systems that run in production — not in notebooks. From model integration and inference optimisation to custom training pipelines, we engineer the intelligence layer your product needs to function at scale.

LLM IntegrationInference OptimisationRAG SystemsML PipelinesFine-tuning
02
Software Engineering

The foundation everything else runs on. We architect and build backend systems, APIs, and infrastructure that are robust, maintainable, and ready for whatever you need to put on top of them — including AI.

Backend ArchitectureAPI DesignCloud InfrastructureDevOps & CI/CDDatabase Design
03
AI Consultation

Not a strategy workshop. A technical audit. We sit with your engineering team, understand what you're building, identify exactly where AI creates leverage, and tell you what to build, what to buy, and what to leave alone.

Technical AuditAI ReadinessArchitecture ReviewBuild vs BuyTeam Training
Who We Are

We Build
What Others
Only Propose.

Novacodes AI is an AI engineering practice. Not an agency. Not a consultancy that hands you a roadmap and disappears. We stay in the code until the system is running in production and the numbers prove it works.

We were founded on one frustration: the gap between what AI consultancies promise and what they deliver. Boards get excited about AI. CTOs commission strategy engagements. Engineers get handed frameworks. Nothing ships.

We close that gap. Our team works at the intersection of software engineering and applied AI — building the infrastructure that makes intelligence operational. Every engagement ends with working software, not a slide deck.

Engineering First
Every recommendation we make, we can build. No theoretical frameworks.
Software at Core
AI without solid software engineering is a demo. We build both.
Outcomes Only
We measure success in latency, accuracy, uptime — not deliverable count.
No Theatre
No workshops about AI strategy. No decks about digital transformation.
NOVACODES AI
A–C
Client stage
8wk
Avg delivery
100%
Remote-native
3
Core services
03

Selected Work

We measure our work in outcomes — latency numbers, accuracy rates, deployment timelines. Details are anonymised where required by NDA.

AI Infrastructure · Series B Startup

Cutting model inference latency from 4.2s to 0.9s without retraining.

A fintech startup's LLM pipeline was adding 4.2 seconds to every user interaction. We re-architected the inference stack, implemented intelligent request batching, and deployed a semantic caching layer trained on their usage patterns.

73%
Latency drop
6wk
Delivery
0
Incidents
LLM OptimisationInferenceCaching
Backend Architecture · Series A SaaS

Re-architecting a monolith that deployed once a week into a system that deploys daily.

The client's engineering team was spending 40% of their time managing deployment risk. We decomposed the critical path, containerised their services, and built a staging environment that mirrored production exactly.

80%
Faster deploys
5wk
Delivery
7×
Deploy frequency
ArchitectureDevOpsCI/CD
AI Consultation · Series C Enterprise

Replacing a $2.4M/yr NLP vendor with an in-house model that outperforms it.

An enterprise client was paying a third-party NLP vendor $200K/month for document classification. Our audit revealed the task was solvable with a fine-tuned open-source model at a fraction of the cost. We built it, benchmarked it, and handed it to their team with full documentation.

94%
Cost reduction
+12%
Accuracy gain
10wk
Full delivery
NLPFine-tuningCost EngineeringConsultation
$2.4M
Annual savings delivered
“They didn't just audit the problem. They fixed it, documented it, and trained our team. That's the work.”
CTO, Series C Enterprise
04

How We Work

01
Step 01
Technical Audit

We start with your system, not your brief. Two days with your codebase and your team tells us more than a month of requirements documents. We map what exists, what breaks, and where AI creates real leverage.

02
Step 02
Engineering Plan

A concrete scope: what we'll build, how long it takes, what it'll cost, and what success looks like in numbers. No ambiguity. If something is uncertain, we say so. Then we agree on it in writing.

03
Step 03
Build & Iterate

We ship weekly. You see working software every Friday — not status updates. We build in the open, review together, and adjust fast. The feedback loop is the process.

04
Step 04
Handover & Support

Full documentation, knowledge transfer to your team, and 90-day post-launch support included on every engagement. You own everything we build — code, models, infrastructure.

Let's Build
Something
Real.

If you're a technical founder or CTO with an AI engineering problem — not a strategy question, an actual engineering problem — we want to hear about it.

Email
hello@novacodes.co
Location
Lagos, Nigeria · Remote-native
LinkedIn
linkedin.com/company/novacodesai
Availability
Open to new projects — Q3 2026
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