Synth Forge — Generative AI Studio
We are a Canadian applied-AI studio in Liberty Village, Toronto, that designs and builds generative systems, LLM applications and synthetic media for client organizations — with human-in-the-loop review at every stage. Outcomes depend on scope, data and use; nothing is guaranteed.
Generative-AI studio · BN 80421 6739 RC0001 · Liberty Village, Toronto
The forge statement
Synth Forge is an applied-AI studio and AI consultancy that ships custom generative systems for Canadian and North American organizations. We work with SMEs, scale-ups and enterprise teams who need on-brand content generation, LLM copilots and synthetic media produced with responsible AI practices — not a training bootcamp, not an income scheme, and not software you buy off a shelf.
Our senior engineers and makers sit in Liberty Village because the work is tactile: prompt engineering, fine-tuning, model evaluation, guardrails and MLOps loops that keep a generative prototype honest when it meets real data. Every engagement starts with discovery, moves through a cast-and-temper method, and ends in production deployment with measurable outcomes framed honestly — ROI depends on how your team uses what we build.
A generative workshop — where drafts meet human review before they ship.
Generative systems need evals, not blind trust.
01
6–12 wk
Typical generative pilot from discovery to first production slice
02
Human
In-the-loop finishing on every client-facing generative output
03
CAD
Project and retainer pricing for Canadian client organizations
Cast & temper
We map where generative AI, large language models and synthetic data actually fit your workflow — not where a slide deck says they should. Project scope, roadmap and integration/API requirements are defined with your product and content leads before a single prompt is written.
We build a working generative prototype on your brand voice, knowledge base and guardrails. Prompt-and-review workflows, retrieval-augmented generation where needed, and early evals for generation quality land in weeks — not quarters.
Model evaluation, guardrails and human-in-the-loop review harden the system against drift, bias and off-brand output. Natural language processing pipelines are stress-tested on real inputs — the kind that break demos.
We integrate with your stack, document the data pipeline and hand over a production deployment your team can operate. Workflow automation hooks, monitoring and responsible-AI practices stay in the loop after launch.
Method
Generative content that reads like a template usually was one. We embed evals for generation, brand-safe guardrails and a prompt-and-review workflow so your team approves what ships. Machine learning and fine-tuning support the system — they do not replace editorial judgment.
Note: A generative prototype can dazzle in a demo and still need tempering on real data. Synth Forge builds with human oversight at every stage — we do not promise guaranteed accuracy, traffic, rankings or business outcomes. AI models can err; results depend on data quality, scope and how systems are used.
Capabilities
Opportunity mapping and roadmap for Canadian market teams.
AI assistants tuned to your knowledge base and workflows.
On-brand variations at scale with human finishing.
Media production loops with oversight — never impersonation.
Brand safety, model evaluation and responsible AI.
Integration, API layers and production monitoring.
Selected work
A marketing team was copy-pasting between six tabs to produce localized ad copy. We built a generative content engine with RAG over their style guide, evals for tone and a human-in-the-loop approval queue. Past pilot metrics showed faster draft cycles — not a promise for your project.
Read the caseTheir demo model buckled on messy SKUs. We re-cast the pipeline with synthetic data augmentation, guardrails for factual claims and MLOps monitoring. Humans still sign off every batch before publish.
Read the caseCommon questions
No — we are an applied-AI generative studio. The .life domain is branding only. “Synth” means synthetic and generative content with human oversight, not audio synthesis.
Most discovery-to-prototype engagements run C$45,000–C$120,000 depending on scope. Retainers for ongoing content generation and MLOps start around C$8,500/month. See FAQ for budgets.
No. We build with evals and human review, but accuracy, traffic and ROI depend on your data, integration and use. Read our terms.
Start here
Tell us about the content, media or generative system you need — we will reply within one business day from our Liberty Village studio.