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Put AI to Work.

Turn business challenges into measurable outcomes. From strategy to production, we build AI solutions that deliver lasting business value.

A partner that you can count on.

From first build to full scale, we stay right beside you — engineering AI systems you can trust and tune, monitor, and evolve your solutions so they keep getting better.

From whiteboard to
working solutions,
fast.

We compress the distance between a good idea and a running system that’s delivering value — startup pace, production quality.

Book a call → Explore solutions
$0B+
Active customer revenue
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Latest platform uptime
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Identified AI use cases
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Working prototype
AdeptivIQ team collaborating with a client during a working session
from ambition
to production ONE PARTNER
Why AdeptivIQ

We close the gap between AI ambition and AI in production.

We don't just advise — we engineer and operate the systems that handle real data, real users, real constraints and deliver real value. We also don't just deliver and disappear. We tune, monitor, and evolve your solutions so they keep getting better long after go-live.

  • Outcomes over output

    We start from the business result you need and engineer toward it. Every solution is tied to measurable value — cost saved, revenue gained, hours returned — not technology for its own sake. The model is the means; the outcome is the point.

  • Quality first

    Quality matters more than ever in AI — small errors compound at scale. We engineer with rigorous testing, evaluation, and validation to deliver results you can trust.

  • Cost-effective by design

    We architect solutions to reduce operational run cost — efficient by design, so AI stays affordable to run at scale.

  • Expert engineering teams

    You work directly with the people building your solution — no layers, no hand-offs.

Solutions

Where AI is paying off for business today.

Four solution areas, all running on one platform. Here is the one most organizations start with — because the paperwork is measurable, the rules are known, and the payback shows up fast.

Featured solution

Document intelligence, beyond basic OCR

Reading text off a page is the easy first step. The real value comes from understanding documents — pulling out the fields that matter, validating them, and handing them straight to the processes that act on them. AdeptivIQ turns contracts, SOWs, invoices, and forms into structured, trustworthy data ready to drive automation — and when something does not line up, it reasons through the exception instead of dropping the document into a manual queue.

Contracts · SOWs · Invoices Field-level extraction Feeds automation
Where this shows up
  • Extract key terms, dates, and obligations from contracts and SOWs
  • Exceptions automatically worked out — a missing PO traced & created, a mismatch reconciled, an unfamiliar layout read anyway
  • Capture line items, totals, and tax fields from invoices for approval
  • Classify, split, and route large document batches automatically
  • Validate extracted data against your systems and business rules
  • Flag missing clauses, anomalies, and non-standard terms for review
  • Feed clean, structured output straight into downstream workflows
Read about all our solutions →
Who we work with

AI solutions for businesses of every size.

From small businesses taking their first step with AI to large enterprises rolling it out across divisions, AdeptivIQ meets you where you are — same platform, same engineering standards, scoped and priced to fit.

Small business

Start fast, without an AI team

Get going with pre-built products rather than a custom build. No technical specialist to hire, no infrastructure to stand up — you're live in weeks on a subscription that suits a smaller budget, with our team handling the technical side.

Mid-size

Grow output, not headcount

Automate the document-heavy, repetitive work that's slowing teams down, and connect AI to the systems you already run. Expand product by product and department by department as the results prove themselves.

Enterprise

Scale with governance built in

Roll out across business units with the controls large organizations require — data residency, role-based access, tenant isolation, and full audit trails — deployed in your cloud or ours and integrated with your enterprise stack.

Rows of illuminated server racks in a secure enterprise data center
in‑region
by design DATA STAYS LOCAL
Data Residency & Security

Your data stays in your region — and under your control.

For regulated and public-sector organizations, where your data lives and how it's processed isn't a detail — it's a requirement. AdeptivIQ is engineered to keep your data in-region and your controls airtight, so adopting AI never comes at the cost of compliance or sovereignty.

  • Local data residency

    Store and process data in the region or country you specify — including fully Canadian-resident deployments — to satisfy data-sovereignty, privacy, and public-sector mandates.

  • Processing on your terms

    Run models and pipelines on AdeptivIQ-managed infrastructure, your own cloud, or your data center. Your data is never used to train external models.

  • Advanced security controls

    Encryption in transit and at rest, role-based access, tenant isolation, private networking, and full audit logging — security engineered in, not bolted on.

  • Compliance-ready by design

    Architected to support frameworks like SOC 2, GDPR, PIPEDA, and HIPAA — with the controls and documentation your auditors and risk teams expect.

Discuss your requirements →
How we engage

A delivery model built for speed and quality.

A clear, repeatable engagement designed to reduce risk and reach a working solution faster. It starts small, proves value fast, and scales only once the results are real — each phase with a clear timeframe, a clear deliverable, and a commercial model to match.

Phase 00 / Assess

Discovery sprint

1–2 weeks
Fixed-fee engagement
You getAn opportunity map and a prioritized, costed roadmap.
Phase 01 / Pilot

Proof of value

4–6 weeks
Fixed-scope build
You getA working prototype, validated against real data and users.
Phase 02 / Production

Build & deploy

6–12 weeks
Milestone-based delivery
You getA live, integrated system running in your environment.
Phase 03 / Operate

Run & improve

Ongoing
Monthly retainer
You getSupport, SLAs, and continuous improvement toward your goals.

Illustrative — every engagement is scoped to your goals, timeline, and environment.

From assessment and strategy to build and fully managed operation, our services cover the entire AI lifecycle — three connected practices that take you from idea to a deployed, evolving system.

Explore our services →
The Platform

One platform. FrontDeskIQ.

FrontDeskIQ is the one platform your people and customers talk to — with knowledge, document, and automation capabilities working behind it.

The platform

FrontDeskIQ

The AI assistant your people and customers actually talk to — on web, mobile, and desktop. It is the front end for everything else on the platform: ask a question and the answer comes back through FrontDeskIQ, upload a document and this is where the result appears, start a workflow and this is where you follow it. All in your brand voice.

The front door to every solution Virtual Agents Business Insights Document Intelligence Process Automation
Capability

KnowledgeIQ

The knowledge capability — AI insight across your documents and your structured database records alike, answered in plain language with sources you can trust.

Solves for
  • Revenue & margin questions from ERP data
  • Account history across CRM records & contracts
  • Employee self-service & HR policy Q&A
Delivers the solutionBusiness Insights →
Capability

DocumentIQ

The document capability — turns documents into structured, validated data and routes it into the workflow that acts on it.

Solves for
  • Invoice & accounts-payable processing
  • Contract review & clause extraction
  • Claims intake & triage
Delivers the solutionDocument Intelligence →
Capability

AutomateIQ

The automation capability — agents that run whole business processes end to end, handling exceptions, with a person in the loop when judgment is needed.

Solves for
  • Automatic onboarding or contract generation & approval routing
  • Inventory monitoring & reordering
  • Support ticket triage & resolution
Delivers the solutionProcess Automation →

The AdeptivIQ platform supports versatility and configuration for whatever use case you may have. Take advantage of core platform functionality and extend it to your specific use cases, business rules and data.

Explore the platform →
Model Independence

Open platform with support for all AI providers.

AdeptivIQ is not built on a single AI provider. The same platform runs on OpenAI, Anthropic, Google, or open-source models hosted in your own environment — and can move between them without rebuilding what you have already deployed. That has three practical consequences, and they all show up either on your bill or in your risk register.

Cost

Pay for the right model, not the biggest one

Not every task needs a frontier model. Routine extraction and classification run on smaller, cheaper models, while genuinely hard reasoning goes to a premium one. Matching each step to what it actually needs keeps running costs down without changing the quality of the answer your people get.

Independence

No provider owns your roadmap

Model prices change, licence terms change, and providers retire the versions you depend on. Because nothing is hard-wired to one vendor, moving is a configuration change rather than a rebuild — so a decision taken in someone else’s boardroom does not become your migration project.

Longevity

Keep improving without re-platforming

The best model this year will not be the best next year. New models are evaluated and adopted as they arrive, so what you deploy today keeps getting better and more efficient over time, instead of ageing into a rewrite two budget cycles from now.

See the technology we build on →
The AI lifecycle

AI isn’t a project that ends — it’s a lifecycle.

Getting to production is the start, not the finish. We stay with you across every stage so your solutions keep improving and keep delivering business value.

Identify

Pinpoint the highest-value use cases and define the target outcome.

Build

Engineer and validate the solution with a focused, measurable pilot.

Deploy

Ship to production, integrated into your environment.

Operate

Monitor, maintain, and support the live system.

Improve

Tune, improve, and expand as needs and data evolve.

We stay in the loop. Once your first use cases are live, we keep maintaining and improving them — measuring against your goals until the desired business outcomes are achieved, and continuing to raise the bar from there.

Pricing Philosophy

Flexible commercial models.

Every engagement is different — so the way you pay should fit the work. Whether it's a fixed-fee assessment, a pilot, a subscription, or usage-based pricing, we'll recommend the commercial model that best aligns with your objectives and the value being delivered.

Fixed-fee discovery

A scoped, flat-fee engagement to map opportunities and define a clear path forward — no surprises.

Pilot engagements

A focused proof of value on a single use case, so you can see results before you commit to scale.

Milestone-based implementation

Pay against defined deliverables as your solution moves from build to production.

Managed AI services

We run, monitor, and continuously improve your AI systems as an ongoing, accountable service.

Platform subscriptions

Predictable, recurring access to the AdeptivIQ platform and the capabilities built on it.

Usage-based pricing

Pay only for what you consume across the platform — scale up or down as demand changes.

Insights

Ideas from the front line of AI.

View all articles →
An AI chat assistant interface on a laptop screen
Agentic AI

Why most AI pilots never reach production — and how to fix it

A practical framework for designing pilots that are built to scale from day one.

May 12, 2026 · 7 min read
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Generative AI

Evaluating LLM output: beyond vibes-based testing

You can't ship what you can't measure. Building evaluation suites that catch regressions before users do.

Mar 25, 2026 · 7 min read
A person reviewing a stack of paper documents with a pen and calculator
Generative AI

RAG done right: grounding LLMs in your own data

Retrieval-augmented generation is easy to prototype and hard to productionize — the patterns that hold up.

Apr 28, 2026 · 8 min read

Ready to put AI to work?

Let's talk about where you are today and map the fastest path to measurable impact. No jargon, no overselling.

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