AI research validation for consulting teams
Catch the contradiction before your client does.
Launching September 2026 | Early access for first 100 teams
Tector Console
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.
of people rely on AI output without checking whether it’s accurate.
have made mistakes in their work because of AI.
less likely to reach the right answer on complex tasks when using AI.
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
01
Bring in your research: Connect the AI conversations and documents behind a project.
02
Tector structures and reads it : Scattered research becomes an organized view Tector can reason across
03
Tector flags the conflicts : Contradictions and unsupported claims, surfaced for team to resolve, traceable
04
Export your report : Export the executive summary of your research, each claim backed by a source
05
Ship a deliverable you can defend : Every claim in your memo or deck verified aganist evidence in Tector
About Tector
Tector is a research platform for teams who have to stand behind their answers. It turns scattered raw material — documents, pasted text, web pages and captured AI conversations — into structured, evidence-backed findings your team can act on and defend.
Every finding is cited. Every disagreement between sources is shown, not hidden. And every gap is labelled as a gap, so nobody mistakes missing evidence for certainty.
OUR MISSION
Help teams replace scattered notes and unverified AI summaries with organized, cited and honest research — where what’s known, what’s contested and what’s still unclear are visible at a glance.
OUR VISION
To become the trusted system of record for team research: a place where evidence stays traceable to its source, disagreement is treated as signal rather than noise, and AI accelerates analysis without replacing judgment.
Market entry, pricing, competitive and diligence teams drown in disconnected PDFs, articles, chat exports and notes. The usual fix makes it worse.
What most tools do
Summarize blindly, with prose that isn’t tied to any source
Quietly pick a “winner” when sources disagree
Fill gaps with confident-sounding answers — false confidence
What Tector does instead
Organizes raw sources into a structured taxonomy of research questions
Extracts cited insights instead of ungrounded prose
Surfaces contradictions explicitly, rather than hiding or auto-resolving them
Flags what’s still unknown, so you see gaps instead of false confidence
Eight steps, one chain of evidence. Every finding can be traced back to the source it came from.
THE SYNTHESIS VIEW
Above the full report sits a narrative pane that gets you oriented in minutes.
1
Situation
The question and the context around it
2
What we know
Findings corroborated across sources
3
What’s contested
Both sides of a disagreement, and the mechanism behind it
4
What’s thin
Gaps, labelled as gaps
5
Implications
What it means for the call you’re making
Thirteen capabilities, grouped by where they sit in your research workflow.
BRING IT IN
Scoping and sources
Guided project scoping
Turns a loose business problem into a defined project and research plan.
Multi-format ingestion
Files, pasted text, web pages and AI conversations, all in one pipeline.
Browser extension
Capture pages and chats straight into a project, no copy-paste.
Reusable templates
Save a taxonomy and skip scoping next time.
MAKE SENSE OF IT
Extraction and research
Insight extraction
Raw material becomes discrete, taxonomy-tagged insights.
Cited research runs
Mandatory citations and explicit “we don’t know yet” flags.
Conflict detection
Both sides of a disagreement, with the reasoning behind it.
SHIP IT
Reports and answers
Multi-scope summaries
Document, branch or project reports that know when they are stale.
Synthesis view
Known, contested, thin and implications — ranked by relevance.
Multi-LLM Compare
One question, several models, side by side.
Grounded Research Chat
Ongoing Q&A tied to your project’s insights and citations.
RUN IT AS A TEAM
Access and governance
Organizations & roles
Owner, admin, editor and viewer roles per organization.
Analytics & governance
Usage, AI spend by action type, user management and audit logs.
PROVIDER-AGNOSTIC
Not tied to one model
Tector is a research layer that sits above the models. Compare runs one question across a fixed roster of cost-efficient models, side by side:
GPT-4o mini
· OpenAI
Claude Haiku
· Anthropic
Gemini Flash
Llama 3 8B
· Meta
Every generated report and answer records which model produced it — so the platform improves as models do, without locking you to a single vendor.
SCALABILITY & RELIABILITY
Built to scale with your team
Model-agnostic — a dedicated AI gateway means new models slot in without touching the product.
Multi-tenant by design — organizations, projects and permissions are isolated at the data layer.
Cost-aware — heavy research and compare runs are triggered deliberately, with spend tracked per action type.
Staleness-aware — summaries notice when their evidence changes and refresh in the background.
Auditable — organization-level audit logs and super-admin visibility support governance.
AI should speed up the analysis. It shouldn’t replace the judgment.
Launching September 2026 · Early access for the first 100 teams
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
Launching September 2026 · Early access for the first 100 signup