AI research validation for consulting teams

Catch the contradiction before your client does.

Tector is an AI research validation layer for consulting teams - A second set of eyes that flags where your AI-assisted research contradicts itself, before it reaches the deliverable. Every flag is resolved by a person and traced back to source.

Join the waitlist

Watch the 2-min demo

Launching September 2026 | Early access for first 100 teams

Tector Console

Tector flagging two contradictory research insights for human resolution

Bad research doesn’t fail loudly. It fails in the boardroom.

AI has made research faster - and quietly less reliable. Across weeks of a project, teams pull from ChatGPT, Claude, Gemini etc., multiple webpages and internal docs, and contradictions slip in: a number that shifts between two slides, a claim that reverses itself, a source no one can trace. It doesn't show up in the draft. It shows up when a client asks the one question you can't answer.

66%

of people rely on AI output without checking whether it’s accurate.

University of Melbourne–KPMG, 2025 · 48,000+ people, 47 countries.

56%

have made mistakes in their work because of AI.

University of Melbourne–KPMG, 2025.

19%

less likely to reach the right answer on complex tasks when using AI.

Harvard Business School / BCG, Jagged Technological Frontier · 758 consultants.

One layer between your AI research and your deliverable

Organizes scattered research into clear taxonomies

Raw, branched AI conversations and documents become a structured, retrievable view — the substrate everything else runs on

Flags contradictions automatically

Conflicting figures, reversed claims, and unsupported assertions across your research, surfaced in one place

Keeps a human in the loop, traced to source

Tector flags; your team decides. Every resolution is recorded, and every claim traces back to where it came from — and stays reusable for the next project team

How Tector validates your research

Tector plug-in allowing user to ingest chat from any window

Bring in your research: Connect the AI conversations and documents behind a project.

Tector automatically placing insights into the relevant project taxonomies

Tector structures and reads it : Scattered research becomes an organized view Tector can reason across

Tector flags the conflicts : Contradictions and unsupported claims, surfaced for team to resolve, traceable

Tector generating summaries for quick consumption into deliverables strictly basis the insights ingested, resolved, and accepted by human

Ship a deliverable you can defend : Every claim traceable to source, and the structured research reusable next time

Built for teams who put their name on the answer

Small-to-mid consulting firm

Coordinate research across a team without conflicting findings reaching the client.

Who we are built for

PE / VC & corporate strategy

Reconcile insights across multiple AI tools on a single thesis

Regulated & audit-heavy work

Keep a defensible trail from claim to source

In early access with 25 research teams and three enterprise design partners

"I spend so much time researching that I often forget the great insight I'd found - and it costs me when I present two conflicting pieces of information because I've lost the context. With the team we resolve these before going to the client, but verifying data - where it came from, how reliable the source is — is always a big consideration."

Director, Big 4 Consulting

"I used five different LLMs for a Series B market sizing and got five different answers. The hardest part wasn't the analysis — it was finding and reconciling insights across conversations."

Founder & CEO, Market research firm

"When I see a piece of research, I have no idea where the insight came from, and the team spends almost a week finding citations and sources."

Consulting Partner, a top 3 Healthcare consulting firms

Be one of the first 100 teams to validate their AI research

Launching September 2026 · Early access for the first 100 signup