Nikola Innovations — engineers building enterprise AI systems that run in production

AI Systems Engineering · Proof Before Production

Put your team's most expensive work on autopilot.

Nikola builds AI systems that take costly, repetitive work off your team and put your own knowledge at their fingertips, around outcomes you can measure. We prove it on your data before you commit, and if AI isn't the right fit, we'll tell you.

See our case studies →

30 minutes. A technical conversation, not a sales pitch. No obligation.

100+ production systems live
40+ enterprise clients
Systems across multiple sectors

Sound familiar?

You don't have an AI problem. You have a business problem AI can solve.

Most of the companies we work with don't come to us asking for a model. They come to us with a bottleneck that is costing them time, money, or risk. That's where we start.

My team spends hundreds of hours a month on work software should be handling.

We automate the high-volume, repetitive parts of a workflow end to end, so your people spend their time on the work that actually needs them.

Nobody can find what they need across our own systems and documents.

We give your team instant, cited answers from your own knowledge, so the right information is one question away instead of a half-hour hunt.

Our support team is drowning, and a generic chatbot only made it worse.

We build support that actually resolves issues from your real knowledge base and escalates honestly when it isn't sure, instead of deflecting with confident wrong answers.

We want to automate this, but we're afraid of AI getting it wrong.

We prove the system on your data before you commit, measure its accuracy against a real evaluation set, and build in guardrails and human oversight from day one.

Every client starts here

Don't commit to an AI system you haven't seen work.

AI projects shouldn't require a leap of faith. Before you commit to a major build, we take the highest-risk part of your proposed system and build a working proof against real or representative data. Not a proposal. Not a slide deck. Something you can actually evaluate.

—A working technical proof
—Evaluation results against measurable criteria
—An architecture recommendation
—A cost model for model, infrastructure, and operating spend
—Documented failure modes and security considerations
—A production roadmap

The Proof Sprint is a focused, fixed-scope, fixed-price engagement that answers the questions that matter before production. Does it work? How accurate is it? What will it cost? Where does it fail? What will production require? You own the output whether or not you build with us. Then you decide.

Case studies

Systems in production. Not slideware.

We don't publish client names by default, our work is often commercially sensitive, but every system below is live and every number is one we can stand behind.

A financial services firm

Financial services · Mid-size, regulated

Turned a compliance knowledge bottleneck into instant, cited answers

The problem. Compliance and front-office staff lost hours a day hunting through policy libraries, regulatory correspondence, and product terms scattered across systems that didn't talk to each other. A wrong or out-of-date answer wasn't a bad experience, it was a supervisory risk.

The baseline. Staff spent a large share of each day locating current policy and regulatory text by hand, with no single source of truth and real risk of citing a superseded version.

What we built. A retrieval-augmented knowledge system grounded in the firm's own current, permissioned documents, answering with the exact clause it drew from. Access control was built into retrieval, and every answer is logged with the source version for audit.

72% reduction in time spent locating current policy and regulatory text
85 staff across compliance and front office using it daily
4 weeks from discovery to a working proof

Architecture. RAG over the firm's document store, with access-controlled retrieval, source-version citations, and full audit logging of every answer.

A professional services firm

Professional services · High document volume

Automated a high-volume document workflow end to end

The problem. A core process depended on people manually reading, classifying, and extracting information from a high volume of documents. It was slow, expensive to scale, and error rates climbed under load, capping how much work the team could take on.

The baseline. The workflow was fully manual, capped by how many documents people could process, with error rates that rose under load.

What we built. A document-intelligence pipeline that extracts, classifies, and structures the information automatically, with an evaluation harness measuring accuracy against a graded set and human review reserved for the genuinely ambiguous cases.

68% of the workload now handled automatically
18,000 documents processed per month
94% measured accuracy on the evaluation set

Architecture. An extraction-and-classification pipeline with an automated evaluation harness and a human-in-the-loop path for ambiguous cases.

A B2B technology company

B2B technology · Scaling support volume

Deployed an AI agent that resolves, not just deflects

The problem. Support volume was outgrowing the team, and a generic chatbot had eroded trust by confidently giving wrong answers. Leadership wanted automation that customers actually trusted, not a deflection metric that hid unresolved problems.

The baseline. Support volume was outpacing the team, and an earlier generic chatbot deflected rather than resolved, leaving customers and staff frustrated.

What we built. A grounded support agent that answers from the company's own knowledge base with citations, escalates honestly when it isn't confident, and integrates with the existing ticketing stack, with cost and latency benchmarked before go-live.

64% of enquiries resolved without a human
41% reduction in average handling time
6 weeks from proof to production

Architecture. A retrieval-grounded support agent with citations, confidence-based escalation, and a live integration into the existing ticketing stack.

How it works

Assess. Prove. Build. Operate.

01
Assess
Free, 30 minutes. Tell us what you're trying to achieve. We'll understand the problem, pressure-test the opportunity, and tell you honestly whether AI is the right approach. If it isn't, we'll say so.
30 minutes. No sales pitch. No obligation.
02
Prove
A fixed-scope, fixed-price Proof Sprint. We take the highest-risk part of the proposed system and build a working proof. You see the system, the evaluation results, the economics, and the limitations before deciding whether to proceed.
03
Build
Once the evidence supports the business case, we turn the proof into a production system. Clear milestones, measurable progress, no nine-month black box.
04
Operate or hand over
Choose what works for your organisation. Operate with Nikola for monitoring, reliability, evaluation, and cost optimisation, or take it in-house with the documentation, architecture, evaluation suite, and operational runbook to run it yourself.

One system

From business problem to production system.

We combine product thinking, AI engineering, and production operations in one team, so the people who scope a system are the people who build, deploy, and can operate it.

Strategy
Knowledge
Agents
Data
Private AI
Operations

AI Strategy & System Design

Know where AI will actually pay off, before you spend on building it. We find where AI can create measurable value, weigh the options honestly, and design a system around your data, workflows, security, and economics.

Knowledge & RAG Systems

Give your team instant, cited answers from your own knowledge, instead of a half-hour hunt across systems. We turn your proprietary documents into a searchable AI system with retrieval, citations, evaluation, and access controls built for real use.

AI Agents & Workflow Automation

Take the repetitive, multi-step work off your team. We connect AI to your existing tools, APIs, databases, and workflows to run whole processes, with guardrails and human oversight where they matter.

Document & Data Intelligence

Process the documents that are capping how much work your team can take on. We extract, classify, analyse, and transform information from documents and business data at scale, with measured accuracy.

Custom Models & Private AI

Keep sensitive data in your control, and your costs predictable. Where requirements justify it, we evaluate and deploy open-weight or smaller models, private environments, and custom approaches for more control over data, performance, and cost.

Production AI & Operations

Keep the system working long after launch. We handle deployment, monitoring, evaluation, reliability, performance, and cost management, so what we ship keeps delivering.

One team takes a problem from business case to a system that keeps running, and we start with whichever part carries the most risk for you.

We put these to work across:

Start here

Start with a diagnostic, not a leap of faith

Before a build, the honest first question is whether it is worth building at all. Each of these is a fixed-scope, fixed-price engagement that answers one question with evidence, and each ends with a written report and a live readout call. They stand on their own, and where the answer is build, they lead naturally into a proof of concept.

AI Readiness Assessment

Is your data, your systems, and your use case actually ready for AI? A scored readiness picture with your highest-priority gaps named, and a clear build-now, fix-first, or wait recommendation.

Scored report + readout call

$7,000

Learn more →

Document Automation ROI Audit

Which of your document work is genuinely worth automating? A ranked, costed map of one workflow with the return quantified before any build, including the parts not worth automating.

Costed report + readout call

$5,000

Learn more →

Our edge

Engineering depth. Commercial discipline.

Most AI consultancies deliver slide decks. We deliver running systems. Here is what that means in practice.

Outcome first, proof before production

We define what success means in business terms before choosing any technology, then test the critical assumptions on real data before you commit to a major build.

Evaluate, don't guess

Systems are measured against agreed performance criteria rather than judged by how impressive the demo looks.

One team, end to end

The people who design the system build it, deploy it, and can stay on to operate it.

Built around your constraints

Data, security, compliance, latency, reliability, and cost are design inputs, not problems to solve at the end.

No surprise economics

We model expected model and infrastructure costs before production and design around agreed cost requirements.

The right AI, not the biggest

We don't start by picking a model. Hosted frontier model, smaller specialist model, or private deployment, we choose what fits your accuracy, cost, speed, privacy, and control requirements.

Security & compliance

Built around your requirements.

Enterprise AI requires clear controls around data, access, infrastructure, and model providers. We treat these as design inputs, not afterthoughts.

Data

Encryption in transit and at rest
Customer data isolation per engagement
Retention windows set to your policy, with data deleted on request

Infrastructure

Deployment in your chosen cloud and region
Data residency options, including in-country / private deployment

Access

Role-based access control
Audit logging of access to and deletion of personal data
Single sign-on available on request

AI providers

We select model providers per engagement, hosted or private
No training on your data without explicit agreement
Provider retention terms confirmed per engagement

Compliance

GDPR- and NDPA-aligned data handling
SOC 2 — status confirmed on request

Data lifecycle

Defined retention windows, with data purged automatically
Audit logging of access to and deletion of personal data
Data deletion on request

A good fit?

Is Nikola Innovations right for you?

We're probably a strong fit if:

You have expensive manual work that could be automated, or knowledge locked in documents your teams can't reach.
You have a real business problem, not just a mandate to "do something with AI".
You need grounded answers over your own data, not a generic chatbot.
You want to see a system work against real data before committing to a major build.
You're tired of vendors who ship demos and disappear before production.

Our promise

Not every problem is a fit for AI, and not every project is a fit for us. If we don't believe AI is the right approach, or that we can build something that holds up in production, we'll tell you rather than take the work. We'd rather turn down an engagement than ship a system we can't stand behind.

Have a use case worth solving?

Tell us what you're trying to automate, improve, or build. We'll tell you whether AI is a good fit, what we'd recommend, what it would take to build, and what it's likely to cost.