Studio services

What we forge for Canadian clients

CogniForge AI is an applied-AI consultancy and custom build studio. We deliver AI strategy, generative-AI applications, retrieval-augmented generation systems, AI assistants, AI agents, workflow automation, machine learning models, data pipelines, model evaluation and MLOps — as project engagements or retainers for SMEs, scale-ups and enterprise teams across the Canadian market. Fees are quoted in CAD. These are professional services delivered for your organization, not software you buy off a shelf and not accredited training.

AI Strategy & Knowledge Discovery

Before anyone writes a line of retrieval code, we run discovery sprints that map where your organization's know-how actually lives — and where a large language model will embarrass itself. We interview stakeholders, sample real questions your staff field weekly, and score use cases by data readiness, risk and measurable outcomes. The output is a pragmatic roadmap: which workflows deserve a proof of concept, which need cleaner document pipelines first, and where human-in-the-loop review must remain non-negotiable. Senior AI engineers facilitate workshops; your product and operations leaders retain decision authority. Typical discovery engagements run C$18,000–C$35,000 over two to four weeks.

Retrieval assistant interface on a studio monitor during a client review

RAG & Retrieval / Knowledge Systems

Retrieval-augmented generation is our core craft. We design knowledge bases with deliberate chunking, embedding selection, metadata filters and access control so answers cite the passages they came from. Hallucination guardrails, prompt engineering and fine-tuning enter when generic models miss domain vocabulary. Every pipeline ships with an evaluation harness — regression tests on real questions your team supplies, not synthetic trivia. API integration connects the retrieval layer to Slack, Teams, internal portals or custom apps. Production deployment includes responsible-AI review and PIPEDA-compliant data handling. Indicative build range: C$85,000–C$220,000 depending on corpus size, security requirements and integration depth.

Knowledge architecture diagram on a studio wall during planning

Document Intelligence & Extraction

Scanned contracts, inconsistent form layouts and legacy PDFs resist naive text extraction. We apply NLP, computer vision and custom ML models to classify, extract and structure document content for downstream assistants. The goal is dependable document intelligence — tables become queryable fields, clauses become tagged segments, and low-confidence extractions route to human reviewers rather than silently polluting your knowledge base. Data pipelines normalize formats, deduplicate versions and track provenance so your RAG assistant never cites a superseded policy. This discipline pairs naturally with retrieval builds but also stands alone when structuring archives is the primary bottleneck.

AI Assistants & Agents (grounded)

Assistants should answer from your sources, not from the model's imagination. We build conversational interfaces and agent orchestration flows that retrieve before they respond, surface citations, and escalate when confidence drops. Multi-step agents can draft emails, open tickets or prepare summaries — but checkpoints keep humans on the loop for consequential actions. We support major LLM providers, open-weight models and on-prem deployments when data privacy demands it. Agent scope is defined explicitly in every statement of work; we do not promise fully autonomous operation or zero errors.

Workflow & Ops Automation with Integrations

Knowledge only matters if it reaches the workflow where decisions happen. We wire assistants into CRMs, ERPs, ticketing systems and internal APIs so retrieval, classification and drafting happen inside tools your team already opens daily. Workflow automation covers routing rules, approval chains and notification logic — engineered for maintainability, not a brittle chain of one-off scripts. Canadian businesses often need hybrid cloud and on-prem patterns; we design integrations with your security team, not around them.

Evaluation, Guardrails & MLOps

Models drift when documents change, providers update weights and users ask harder questions. We implement model evaluation frameworks, guardrails against off-topic or non-compliant outputs, and MLOps pipelines for monitoring, retraining triggers and rollback. Responsible-AI practices — bias checks, access logging, retention policies — are baked into operations, not slid in at the end. Retainer engagements from C$6,500/month keep evaluation harnesses current and give your team a direct line to senior engineers when production behaviour shifts.

Evening studio session reviewing evaluation metrics on screen

Scope your first engagement

Share a sample of the documents your team searches most. We will recommend a discovery sprint or prototype loop and quote CAD project fees without inflated promises.

Forge a prototype

Engagement note: CogniForge ships bespoke retrieval and automation work for client organizations — not packaged software licences or certificate programmes. Outputs can drift, omit sources or misread tables; we wire evaluation harnesses and human sign-off into every scope. Fees and timelines depend on corpus size, integrations and review depth. Past delivery metrics are illustrative, not forecasts.